Publications: Prof Norman Fenton

Hartmann M, Fenton N, Dobson R ( 2022 ) . Development of Bayesian Network for Multiple Sclerosis Risk Factor Interaction Analysis . Computational Intelligence Methods for Bioinformatics and Biostatistics , vol. 13483 ,

Lin P, Neil M, Fenton N, Dementiev E ( 2022 ) . Region-based estimation of the partition functions for hybrid Bayesian network models . International Journal of Intelligent Systems vol. 37 , ( 11 ) 8897 - 8927 .

Gill RD, Fenton N, Lagnado D ( 2022 ) . Statistical Issues in Serial Killer Nurse Cases . Laws vol. 11 , ( 5 )

Hunte J, Neil M, Fenton N ( 2022 ) . A hybrid Bayesian network for medical device risk assessment and management .

Chaichanavichkij P, Hartmann M, McLachlan S, Scott SM, Fenton N, Knowles CH ( 2022 ) . O039 Evaluating the influence of risk factors on the development of defaecatory problems: a Delphi study . British Journal of Surgery vol. 109 , ( SUPPL 4 )

Hunte J, Neil M, Fenton N ( 2022 ) . Product safety idioms: a method for building causal Bayesian networks for product safety and risk assessment .

McLachlan S, Dube K, Schafer B, Gillespie A, Fenton N ( 2022 ) . The Chaotic State of UK Drone Regulation .

Mclachlan S, Neil M, Dube K, Bogani R, Fenton N, Schaffer B ( 2022 ) . Smart automotive technology adherence to the law: (de)constructing road rules for autonomous system development, verification and safety . International Journal of Law and Information Technology vol. 29 , ( 4 ) 255 - 295 .

McLachlan S, Kyrimi E, Dube K, Fenton N, Schafer B ( 2022 ) . The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law .

Hunte JL, Neil M, Fenton NE ( 2022 ) . A causal Bayesian network approach for consumer product safety and risk assessment . Journal of Safety Research vol. 80 , 198 - 214 .

Hunte JL, Neil M, Fenton NE ( 2022 ) . A causal Bayesian network approach for consumer product safety and risk assessment . J Safety Res vol. 80 , 198 - 214 .

McLachlan S, Kyrimi E, Dube K, Fenton N, Webley LC ( 2022 ) . Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process . Artificial Intelligence and Law

McLachlan S, Schafer B, Dube K, Kyrimi E, Fenton N ( 2022 ) . Tempting the Fate of the furious: cyber security and autonomous cars . International Review of Law, Computers and Technology vol. 36 , ( 2 ) 181 - 201 .

Daley BJ, Ni’Man M, Neves MR, Bobby Huda MS, Marsh W, Fenton NE, Hitman GA, McLachlan S ( 2022 ) . mHealth apps for gestational diabetes mellitus that provide clinical decision support or artificial intelligence: A scoping review . Diabetic Medicine vol. 39 , ( 1 )

Fenton N, Cruz N, Hahn U, Lagnado D ( 2021 ) . Explaining away, augmentation, and the assumption of independence . Frontiers in Psychology

Hartmann M, Fenton N, Dobson R ( 2021 ) . Using Bayesian networks to understand multiple sclerosis risk factor interactions . MULTIPLE SCLEROSIS JOURNAL . vol. 27 , 375 - 375 .

Fenton N, Lagnado D ( 2021 ) . Bayesianism: Objections and Rebuttals . Philosophical Foundations of Evidence Law ,

McLachlan S, Neil M, Dube K, Bogani R, Fenton N, Schaffer B ( 2021 ) . Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety .

Neil M, Fenton N ( 2021 ) . Bayesian Hypothesis Testing and Hierarchical Modeling of Ivermectin Effectiveness . American Journal of Therapeutics vol. 28 , ( 5 ) e576 - e579 .

Kyrimi E, McLachlan S, Dube K, Neves MR, Fahmi A, Fenton N ( 2021 ) . A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future . Artificial Intelligence in Medicine vol. 117 ,

Fenton N, Neil M ( 2021 ) . Calculating the Likelihood Ratio for Multiple Pieces of Evidence .

Kyrimi E, Dube K, Fenton N, Fahmi A, Neves MR, Marsh W, McLachlan S ( 2021 ) . Bayesian networks in healthcare: What is preventing their adoption? . Artificial Intelligence in Medicine vol. 116 ,

Gill RD, Fenton N, Lagnado D ( 2021 ) . Statistical issues in Serial Killer Nurse cases .

Dobson R, Fenton N, Hartmann M ( 2021 ) . Current Review and Next Steps for Artificial intelligence in Multiple Sclerosis risk research . Computers in Biology and Medicine

Constantinou AC, Fenton N, Neil M ( 2021 ) . How do some Bayesian Network machine learned graphs compare to causal knowledge? .

Lin P, Neil M, Fenton N ( 2021 ) . A Study of Using Bethe/Kikuchi Approximation for Learning Directed Graphic Models . IEEE Access vol. 9 , 125428 - 125438 .

Hill A, Joyner CH, Keith-Jopp C, Yet B, Sakar CT, Marsh W, Morrissey D ( 2021 ) . A bayesian network decision support tool for low back pain using a RAND appropriateness procedure: proposal and internal pilot study . JMIR Research Protocols vol. 10 , ( 1 )

Dewitt SH, Li C, Koh D, Fenton NE, Lagnado D ( 2021 ) . Categorical Belief Updating Under Uncertainty . Proceedings of the 43rd Annual Meeting of the Cognitive Science Society: Comparative Cognition: Animal Minds, CogSci 2021 . 777 - 783 .

Constantinou AC, Fenton NE, Neil M ( 2021 ) . How do some Bayesian Network machine learned graphs compare to causal knowledge? . CoRR vol. abs/2101.10461 ,

McLachlan S, Kyrimi E, Daley BJ, Dube K, Marsden M, Finer S, Hitman GA, Fenton NE ( 2020 ) . Incorporating Clinical Decisions into Standardised Caremaps . 2020 IEEE International Conference on Healthcare Informatics, ICHI 2020 .

McLachlan S, Kyrimi E, Dube K, Fenton N, Webley L ( 2020 ) . Lawmaps: Enabling Legal AI development through Visualisation of the Implicit Structure of Legislation and Lawyerly Process .

McLachlan S, Paterson H, Dube K, Kyrimi E, Dementiev E, Neil M, Daley BJ, Hitman GA et al. ( 2020 ) . Real-Time Online Probabilistic Medical Computation using Bayesian Networks . 2020 IEEE International Conference on Healthcare Informatics, ICHI 2020 .

Dube K, McLachlan S, Zanamwe N, Kyrimi E, Thomson JS, Fenton N ( 2020 ) . Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies . 2020 IEEE Global Humanitarian Technology Conference, GHTC 2020 .

Osman M, meder B, Fenton N, Neil M, Mclachlan S, Löfsted R ( 2020 ) . Learning from behavioural changes that fail . Trends in Cognitive Sciences

Fenton N, Dewett S, Lagnado D ( 2020 ) . Propensities and second order uncertainty: a modified taxi cab problem . Frontiers in Psychology

Hunte J, Neil M, Fenton N ( 2020 ) . Product risk assessment: a Bayesian network approach .

Fenton N, Neil M, Yet B, Lagnado D ( 2020 ) . Analyzing the Simonshaven Case Using Bayesian Networks . Topics in Cognitive Science vol. 12 , ( 4 ) 1092 - 1114 .

Fenton N, Jamieson A, Gomes S, Neil M ( 2020 ) . On the limitations of probabilistic claims about the probative value of mixed DNA profile evidence .

Fenton N, Neil M, Frazier S ( 2020 ) . The role of collider bias in understanding statistics on racially biased policing .

Fenton N ( 2020 ) . A Note on UK Covid19 death rates by religion: which groups are most at risk? .

Kyrimi E, Neves MR, McLachlan S, Neil M, Marsh W, Fenton N ( 2020 ) . Medical idioms for clinical Bayesian network development .

Kyrimi E, Raniere Neves M, Mclachlan S, Neil M, Marsh W, Fenton N ( 2020 ) . Medical idioms for clinical Bayesian network development . Journal of Biomedical Informatics

Fenton N, Pilditch T, Ulrike H, Lagnado D ( 2020 ) . Dependencies in evidential reports: The case for informational advantages . Cognition

Daley BJ, Kyrimi E, Dube K, Fenton NE, Hitman GA, McLachlan S ( 2020 ) . Data Visualisation in Midwifery: The Challenge of Seeing what Datasets Hide . Studies in Health Technology and Informatics vol. 270 , 1239 - 1240 .

McLachlan S, Dube K, Hitman GA, Fenton NE, Kyrimi E ( 2020 ) . Bayesian networks in healthcare: Distribution by medical condition . Artificial Intelligence in Medicine vol. 107 , Article 101912 , 101912 - 101912 .

Dube K, McLachlan S, Zanamwe N, Kyrimi E, Thomson J, Fenton N ( 2020 ) . Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies .

Neil M, Fenton N, Osman M, McLachlan S ( 2020 ) . Bayesian Network Analysis of Covid-19 data reveals higher Infection Prevalence Rates and lower Fatality Rates than widely reported . Journal of Risk Research

Neil M, Fenton N, Osman M, McLachlan S ( 2020 ) . Bayesian network analysis of Covid-19 data reveals higher infection prevalence rates and lower fatality rates than widely reported . Journal of Risk Research

Fenton N ( 2020 ) . A note on 'Collider bias undermines our understanding of COVID-19 disease risk and severity' and how causal Bayesian networks both expose and resolve the problem .

McLachlan S, Lucas P, Dube K, Hitman GA, Osman M, Kyrimi E, Neil M, Fenton NE ( 2020 ) . Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing? .

McLachlan S, Kyrimi E, Dube K, Fenton N ( 2020 ) . Standardising Clinical Caremaps: Model, Method and Graphical Notation for Caremap Specification . Communications in Computer and Information Science . Conference: 2th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF ( Prague ) from: 22/02/2019 to: 24/02/2019 , vol. 1211 CCIS , 429 - 452 .

Fenton N, Osman M, Mclachlan S, Neil M ( 2020 ) . COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing . Journal of Risk Research

Fenton N, Neil M, Constantinou A ( 2020 ) . The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie, Basic Books (2018) . Artificial Intelligence vol. 284 , Article 103286 , 103286 - 103286 .

McLachlan S, Kyrimi E, Dube K, Hitman G, Simmonds J, Fenton N ( 2020 ) . Towards standardisation of evidence-based clinical care process specifications . Health Informatics Journal

Kyrimi E, McLachlan S, Dube K, Neves MR, Fahmi A, Fenton N ( 2020 ) . A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future .

McLachlan S, Dube K, Hitman GA, Fenton NE, Kyrimi E ( 2020 ) . Bayesian Networks in Healthcare: Distribution by Medical Condition .

McLachlan S, Kyrimi E, Fenton N ( 2020 ) . Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden .

McLachlan S, Kyrimi E, Fenton N ( 2020 ) . Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden .

Lin P, Neil M, Fenton N ( 2020 ) . Improved high dimensional discrete Bayesian network inference using triplet region construction . Journal of Artificial Intelligence Research vol. 69 , 231 - 295 .

Fenton N, Neil M, Constantinou A ( 2019 ) . Simpson's Paradox and the implications for medical trials .

Neil M, Fenton N, Lagnado D, Gill RD ( 2019 ) . Modelling competing legal arguments using Bayesian model comparison and averaging . Artificial Intelligence and Law vol. 27 , ( 4 ) 403 - 430 .

Wang J, Neil M, Fenton N ( 2019 ) . A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model . Computers and Security vol. 89 ,

Mclachlan S, Dube K, KYRIMI E, Fenton N ( 2019 ) . LAGOS: Learning Health Systems and how they can integrate with patient care . BMJ: Health & Care Informatics

Daley B, Hitman G, Fenton N, McLachlan S ( 2019 ) . Assessment of the methodological quality of local clinical practice guidelines on the identification and management of gestational diabetes . BMJ Open vol. 9 , ( 6 ) e027285 - e027285 .

McLachlan S, Dube K, Johnson O, Buchanan D, Potts HWW, Gallagher T, Fenton N ( 2019 ) . A framework for analysing learning health systems: Are we removing the most impactful barriers? . Learning Health Systems

Fenton N, Lagnado D, Dahlman C, Neil M ( 2019 ) . The Opportunity Prior: A proof-based prior for criminal cases . Law, Probability and Risk

Neil M, Fenton N, Osman M, Lagnado D ( 2019 ) . Causality, the critical but often ignored component guiding us through a world of uncertainties in risk assessment . Journal of Risk Research

FENTON NE, DE ZOETE J, NOGUCHI T, Lagnado D ( 2019 ) . Resolving the so-called “probabilistic paradoxes in legal reasoning” with Bayesian Networks . Science and Justice

Neil M, Fenton N, Lagnado D, Gill RD ( 2019 ) . Modelling Competing Legal Arguments using Bayesian Model Comparison and Averaging .

MCLACHLAN S, KYRIMI E, FENTON N, Dube K ( 2019 ) . Clinical Caremap Development: How can caremaps standardise care when they are not standardised? . Conference: HEALTHINF 2019 ( Prague, Czech ) from: 22/02/2019 to: 24/02/2019 ,

FENTON NE, NEIL M, NOGUCHI T ( 2019 ) . An extension to the noisy-OR function to resolve the ‘explaining away’ deficiency for practical Bayesian network problem . IEEE Transactions on Knowledge and Data Engineering

Dewitt SH, Hsu A, Lagnado D, Desai SC, Fenton NE ( 2019 ) . Nested Sets and Natural Frequencies . Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019 . 1633 - 1639 .

McLachlan S, Dube K, Gallagher T, Simmonds JA, Fenton N ( 2019 ) . Realistic Synthetic Data Generation: The ATEN Framework . vol. 1024 ,

Fenton NE, Neil M, Constantinou AC ( 2019 ) . Simpson's Paradox and the implications for medical trials . CoRR vol. abs/1912.01422 ,

FENTON NE, Pilditch T, Lagnado D, Hahn U ( 2018 ) . The zero-sum fallacy in evidence evaluation . Psychological Science

FENTON NE, NOGUCHI T, NEIL M ( 2018 ) . Addressing the Practical Limitations of Noisy-OR using Conditional Inter-causal Anti-Correlation with Ranked Nodes . IEEE Transactions on Knowledge and Data Engineering

OSMAN M, FENTON NE, Pilditch T, Lagnado D, NEIL M ( 2018 ) . Who do we trust on social policy interventions . Basic and Applied Social Psychology

Osman M, Fenton N, Pilditch T, Lagnado D, Neil M ( 2018 ) . Whom Do We Trust on Social Policy Interventions? . Basic and Applied Social Psychology

Fenton N, Neil M ( 2018 ) . Improving Software Testing with Causal Modeling . Analytic Methods in Systems and Software Testing ,

MCLACHLAN S, Potts HWW, Dube K, Buchanan D, Lean S, Gallagher T, Johnson O, DALEY B et al. ( 2018 ) . The Heimdall framework for supporting characterisation of learning health systems . BCS Journal of Innovation in Health Informatics vol. 25 , ( 2 )

CONSTANTINOU AC, FENTON N ( 2018 ) . Things to know about Bayesian networks . Significance

FENTON NE ( 2018 ) . Evidence based decision making turns knowledge into power . EU Research38 - 39 .

YET B, NEIL M, FENTON N, CONSTANTINOU AC, DEMENTIEV E ( 2018 ) . An Improved Method for Solving Hybrid Influence Diagrams . International Journal of Approximate Reasoning

FENTON NE, NEIL M ( 2018 ) . Lawnmowers versus terrorists: A highly misleading view of risk . Significance vol. 15 , ( 1 ) 12 - 15 .

Yet B, Constantinou A, Fenton N, Neil M ( 2018 ) . Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization . IEEE Access vol. 6 , 7802 - 7817 .

FENTON NE, NEIL M ( 2018 ) . Are lawnmowers a greater risk than terrorists? . Abstract: java.sql.Clob org.hibernate.engine.jdbc.WrappedClob java.io.Serializable ,

McLachlan S, Dube K, Buchanan D, Lean S, Johnson O, Potts H, Gallagher T, Marsh W et al. ( 2018 ) . Learning health systems: The research community awareness challenge . Journal of Innovation in Health Informatics vol. 25 , ( 1 ) 38 - 40 .

Dewitt SH, Lagnado DA, Fenton N ( 2018 ) . Updating Prior Beliefs Based on Ambiguous Evidence . Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018 . 306 - 311 .

FENTON NE, DE ZOETE J, Lagnado D ( 2017 ) . Modeling complex legal cases as a Bayesian network using idioms and sensitivity analysis with the Collins case as a complete example . Conference: 10th International Conference on Forensic Inference and Statistics ( Minneapolis, USA )

FENTON NE, DE ZOETE J ( 2017 ) . Automatic Generation of Bayesian networks in Forensic Science . Conference: 10th International Conference on Forensic Inference and Statistics ( Mineapolis, USA )

CONSTANTINOU AC, Fenton N ( 2017 ) . The future of the London Buy-To-Let property market: Simulation with temporal Bayesian Networks . PLoS ONE vol. 12 , ( 6 )

FENTON NE, Lagnado D, Dahlman C, Neil M ( 2017 ) . The Opportunity Prior: A Simple and Practical Solution to the Prior Probability Problem for Legal Cases . ACM . Conference: International Conference on AI and the Law (ICAIL 17) ( Kings College, London ) from: 12/06/2017 to: 15/06/2017 ,

Neil M, Fenton N ( 2017 ) . Risk Management Using Bayesian Networks . Wiley StatsRef: Statistics Reference Online ,

CONSTANTINOU AC, Fenton NORMAN ( 2017 ) . Towards Smart-Data: Improving predictive accuracy in long-term football team performance . Knowledge-Based Systems

CONSTANTINOU AC, Fenton N ( 2017 ) . Improving predictive accuracy using Smart-Data: The case of football teams’ evolving performance . Knowledge-Based Systems

Coid JW, Ullrich S, Kallis C, Freestone M, Gonzalez R, Bui L, Igoumenou A, Constantinou A et al. ( 2016 ) . Improving risk management for violence in mental health services: a multimethods approach . Programme Grants for Applied Research vol. 4 , ( 16 ) 1 - 408 .

Fenton N, Neil M, Lagnado D, William M, Yet B, CONSTANTINOU AC ( 2016 ) . How to model mutually exclusive events based on independent causal pathways in Bayesian network models . Knowledge-Based Systems

DEMENTIEV E, Fenton N ( 2016 ) . Bayesian Torrent Classification by File Name and Size Only . http://jmlr.org/proceedings/papers/v52/ . Conference: International Conference on Probabilistic Graphical Models ( Lugano, Switzerland ) from: 06/09/2016 to: 09/09/2016 , vol. 52 , 136 - 146 .

Zhou Y, Hospedales TM, Fenton N ( 2016 ) . When and where to transfer for Bayesian network parameter learning . Expert Systems with Applications vol. 55 , 361 - 373 .

FENTON NE, Smit N, Lagnado D, Morgan R ( 2016 ) . Using Bayesian networks to guide the assessment of new evidence in an appeal case . Crime Science vol. 5 , ( 9 )

FENTON NE, Zhou Y, Zhu C ( 2016 ) . An Empirical Study of Bayesian Network Parameter Learning with Monotonic Influence Constraints . Decision Support Systems

Yet B, CONSTANTINOU AC, Fenton N, Neil M, Luedeling E, Shepherd K ( 2016 ) . A Bayesian Network Framework for Project Cost, Benefit and Risk Analysis with an Agricultural Development Case Study . Expert Systems with Applications

CONSTANTINOU AC, FENTON N, NEIL M ( 2016 ) . Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved . Expert Systems with Applications

FENTON NE, neil M, Berger D ( 2016 ) . Bayes and the Law . Annual Review of Statistics and Its Application vol. 3 , 51 - 77 .

Constantinou AC, Fenton N, Marsh W, Radlinski L ( 2016 ) . From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support . Artificial Intelligence in Medicine vol. 67 , 75 - 93 .

Constantinou AC, Fenton NE ( 2016 ) . Improving Predictive Accuracy Using Smart-Data rather than Big-Data: A Case Study of Soccer Teams' Evolving Performance . BMA@UAI . Editors: Carvalho, RN, Laskey, KB , vol. 1663 , 54 - 55 .

Constantinou AC, Yet B, Fenton N, Neil M, Marsh W ( 2015 ) . Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences . Artificial Intelligence in Medicine vol. 66 , 41 - 52 .

FENTON NE, Zhou Y, Hospedales T, Neil M ( 2015 ) . Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints . http://auai.org/uai2015/proceedings.shtml . Conference: Uncertainty in Artificial Intelligence ( Amsterdam, Netherlands ) from: 12/07/2015 to: 16/07/2015 , 972 - 981 .

Shepherd K, Hubbard D, Fenton N, Claxton K, Luedeling E, De Leeuw J ( 2015 ) . Policy: Development goals should enable decision-making . Nature vol. 523 , ( 7559 ) 152 - 154 .

FENTON NE, Chockler H, Keppens J, Lagnado D ( 2015 ) . Causal Analysis for Attributing Responsibility in Legal Cases . Conference: International Conference on Artificial Intelligence & Law (ICAIL 15) ( San Diego, Los Angeles, USA ) from: 12/06/2015 to: 08/06/2015 , 33 - 42 .

Chockler H, Fenton N, Keppens J, Lagnado DA ( 2015 ) . Causal analysis for attributing responsibility in legal cases . Proceedings of the International Conference on Artificial Intelligence and Law . vol. 08-12-June-2015 , 33 - 42 .

Constantinou AC, Freestone M, Marsh W, Fenton NE, Coid J ( 2015 ) . Risk assessment and risk management of violent re-offending among prisoners . Expert Systems with Applications vol. 42 , ( 21 )

FENTON NE ( 2015 ) . Moving from big data and machine learning to smart data and causal modelling: a simple example from consumer research and marketing . Abstract: java.sql.Clob org.hibernate.engine.jdbc.WrappedClob java.io.Serializable ,

de Zoete J, Sjerps M, Lagnado D, Fenton N ( 2015 ) . Modelling crime linkage with Bayesian networks . Science and Justice vol. 55 , ( 3 ) 209 - 217 .

Zhou Y, Fenton N, Hospedales TM, Neil M ( 2015 ) . Probabilistic graphical models parameter learning with transferred prior and constraints . Uncertainty in Artificial Intelligence - Proceedings of the 31st Conference, UAI 2015 . 972 - 981 .

Fenton N, Bieman J ( 2014 ) . Software Metrics A Rigorous and Practical Approach, Third Edition . CRC Press

Fenton N, Bieman J ( 2014 ) . Software Metrics, A Rigorous and Practical Approach, Third Edition .

Lin P, Neil M, Fenton NE ( 2014 ) . Risk Aggregation in the presence of Discrete Causally Connected Random Variables . Annals of Actuarial Science vol. 8 , ( 2 ) 298 - 319 .

Fenton N, Lagnado D, Hsu A, Berger D, Neil M ( 2014 ) . Response to "on the use of the likelihood ratio for forensic evaluation: response to Fenton et al." . Sci Justice vol. 54 , ( 4 ) 319 - 320 .

De Zoete J, Sjerps M, Lagnado D, Fenton N ( 2014 ) . Modelling crime linkage with Bayesian networks . Science and Justice

Yet B, Perkins Z, Fenton N, Tai N, Marsh W ( 2014 ) . Not just data: a method for improving prediction with knowledge . J Biomed Inform vol. 48 , 28 - 37 .

Zhou Y, Fenton N, Neil M ( 2014 ) . An extended MPL-C model for Bayesian network parameter learning with exterior constraints . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) vol. 8754 , 581 - 596 .

Fenton N ( 2014 ) . Assessing evidence and testing appropriate hypotheses . Science and Justice vol. 54 , ( 6 ) 502 - 504 .

Zhou Y, Fenton N, Neil M ( 2014 ) . Bayesian network approach to multinomial parameter learning using data and expert judgments . International Journal of Approximate Reasoning vol. 55 , Article 5 , 1252 - 1268 .

Constantinou AC, Fenton NE, Hunter Pollock LJ ( 2014 ) . Bayesian networks for unbiased assessment of referee bias in Association Football . Psychology of Sport and Exercise vol. 15 , ( 5 ) 538 - 547 .

Fenton NE, Neil M ( 2014 ) . Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks . IEEE Software vol. 31 , ( 2 ) 21 - 26 .

Yet B, Perkins Z, Fenton N, Tai N, Marsh W ( 2014 ) . Not just data: A method for improving prediction with knowledge . Journal of Biomedical Informatics vol. 48 , 28 - 37 .

Fenton N, Berger D, Lagnado D, Neil M, Hsu A ( 2014 ) . When 'neutral' evidence still has probative value (with implications from the Barry George Case) . Science and Justice vol. 54 , ( 4 ) 274 - 287 .

Fenton NE, Neil M, Hsu A ( 2013 ) . Calculating and understanding the value of any type of match evidence when there are potential testing errors . Artificial Intelligence and Law vol. 22 , ( 1 ) 1 - 28 .

Constantinou AC, Fenton NE, Neil M ( 2013 ) . Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks . KNOWLEDGE-BASED SYSTEMS vol. 50 , 60 - 86 .

Constantinou AC, Fenton NE ( 2013 ) . Profiting from arbitrage and odds biases of the European football gambling market . The Journal of Gambling Business and Economics vol. 7 , ( 2 ) 41 - 70 .

FENTON NE, Neil M, Lagnado D ( 2013 ) . A General Structure for Legal Arguments About Evidence Using Bayesian Networks . Cognitive Science vol. 37 , ( 1 ) 61 - 102 .

Constantinou A, FENTON NE ( 2013 ) . Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries . Journal of Quantitative Analysis in Sports vol. 9 , ( 1 ) 37 - 50 .

Zhou Y, Fenton N, Neil M, Zhu C ( 2013 ) . Incorporating Expert Judgement into Bayesian Network Machine Learning . Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence . 3249 - 3250 .

Constantinou A, FENTON NE, Neil M ( 2012 ) . pi-football: A Bayesian network model for forecasting Association Football match outcomes . Knowledge Based Systems vol. 36 , 322 - 339 .

Neil M, Chen X, Fenton NE ( 2012 ) . Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks using Binary Factorization . IEEE Transactions on Knowledge and Data Engineering vol. 7 , ( 24 ) Article 12852804 , 1306 - 1312 .

FENTON NE, Lagnado D, Neil M ( 2012 ) . Legal idioms: a framework for evidential reasoning . Argument and Computation vol. 4 , ( 1 ) 46 - 63 .

Constantinou A, FENTON NE ( 2012 ) . Solving the problem of inadequate scoring rules for assessing probabilistic football forecasting models . Journal of Quantitative Analysis in Sports vol. 8 , ( 1 ) Article 1 ,

FENTON NE ( 2012 ) . A simple story illustrating why pure machine learning (without expert input) may be doomed to fail and totally unnecessary .

FENTON NE, Neil M ( 2012 ) . Risk Assessment with Bayesian Networks . CRC Press ( London ),

Fenton N, Neil M ( 2012 ) . Risk assessment and decision analysis with bayesian networks .

Fenton N ( 2011 ) . Science and law: Improve statistics in court . Nature vol. 479 , ( 7371 ) 36 - 37 .

FENTON N ( 2011 ) . Rational software developers as pathological code hackers . The dark side of software engineering: evil on computing projects , Editors: Rost, J, Glass, RL , Wiley-IEEE Computer Society Press

FENTON NE, Neil M ( 2011 ) . Avoiding Legal Fallacies in Practice Using Bayesian Networks . Australian Journal of Legal Philosophy vol. 36 , 114 - 150 .

FENTON NE, Neil M ( 2011 ) . Risk Assessment with Bayesian Networks . Chapman and Hall ( London ),

FENTON NE, Neil M ( 2011 ) . The use of Bayes' and causal modelling in decision making, uncertainty and risk . UPGRADE, the Journal of CEPIS (Council of European Professional Informatics Societies) vol. 12 , ( 5 ) 10 - 21 .

Fenton N, Neil M ( 2010 ) . Comparing risks of alternative medical diagnosis using Bayesian arguments . J Biomed Inform vol. 43 , ( 4 ) 485 - 495 .

Marquez D, Neil M, Fenton N ( 2010 ) . Improved reliability modeling using Bayesian networks and dynamic discretization . RELIAB ENG SYST SAFE vol. 95 , ( 4 ) 412 - 425 .

Xiangjun L, Fenton NE ( 2010 ) . Extending support vector machines to discover temporal periodic patterns . Conference: Second Global Congress on Intelligent Systems (GCIS 2010) ( Wuhan, China ) from: 16/12/2010 to: 17/12/2010 , vol. 2 , 325 - 328 .

Neil M, Marquez D, Fenton N ( 2010 ) . Improved Reliability Modeling using Bayesian Networks and Dynamic Discretization . Journal of Reliability Engineering and System Safety vol. 95 , ( 4 ) 412 - 425 .

Fenton NE, Hearty P, Neil M, Radliński Ł ( 2010 ) . Software project and quality modelling using Bayesian networks . Artificial intelligence applications for improved software engineering development: new prospects , Editors: Meziane, F, Vadera, S , IGI Global ( Hershey, New York, USA ),

Fineman M, Radlinski L, Fenton NE ( 2009 ) . Modelling project trade-off using Bayesian networks . Conference: IEEE Int. Conf. Computational Intelligence and Software Engineering ( Wuhan, China ) from: 08/12/2009 to: 11/12/2009 , 1 - 4 .

Hearty P, Fenton N, Marquez D, Neil M ( 2009 ) . Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model . IEEE T SOFTWARE ENG vol. 35 , ( 1 ) 124 - 137 .

Fineman M, Fenton NE ( 2009 ) . Quantifying risks using Bayesian networks . Modelling, Simulation, and Identification (MSI, AsiaPES, CSNA, RTA, AMSRA 2009) . Editors: Ma, H, Narayanan, S , Conference: IASTED Int. Conf. Advances in Management Science and Risk Assessment (AMSRA 2009) ( Beijing, China ) from: 12/10/2009 to: 14/10/2009 , vol. Risk Management, Ana ,

N Fenton MN, Radliński Ł ( 2009 ) . Software Project and Quality Modelling Using Bayesian Networks . Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects. (Part of the Advances in Intelligent Information Technologies (AIIT) Book Series) , Information Science Reference.

Marquez D, Neil M, Fenton N ( 2008 ) . Solving dynamic fault trees using a new hybrid Bayesian network inference algorithm . 2008 Mediterranean Conference on Control and Automation - Conference Proceedings, MED'08609 - 614 .

Fenton N, Neil M, Marsh W, Hearty P, Radlinski L, Krause P ( 2008 ) . On the effectiveness of early life cycle defect prediction with Bayesian Nets . EMPIRICAL SOFTWARE ENGINEERING vol. 13 , ( 5 ) 499 - 537 .

Neil M, Tailor M, Marquez D, Fenton N, Hearty P ( 2008 ) . Modelling dependable systems using hybrid Bayesian networks . RELIAB ENG SYST SAFE vol. 93 , ( 7 ) 933 - 939 .

Fenton NE, Neil M ( 2008 ) . Avoiding legal fallacies in practice using Bayesian networks . Conference: Seventh International Conference on Forensic Inference and Statistics ( Lausanne, Switzerland ) from: 20/08/2008 to: 23/08/2008 ,

Neil M, Tailor M, Marquez D, Fenton NE, Hearty P ( 2008 ) . Modelling dependable systems using hybrid Bayesian networks . Reliability Engineering and System Safety vol. 93 , ( 7 ) 933 - 939 .

Marquez D, Neil M, Fenton N ( 2008 ) . Solving Dynamic Fault Trees using a New Hybrid Bayesian Network Inference Algorithm . 2008 MEDITERRANEAN CONFERENCE ON CONTROL AUTOMATION, VOLS 1-4 . 1526 - 1531 .

Neil M, Marquez D, Fenton N ( 2008 ) . Using Bayesian Networks to Model the Operational Risk to Information Technology Infrastructure in Financial Institutions . Journal of Financial Transformation vol. 22 , 131 - 138 .

Fenton NE, Neil M, Marquez D ( 2008 ) . Using Bayesian Networks to Predict Software Defects and Reliability . Journal of Risk and Reliability vol. 222(04) , 701 - 712 .

Fenton NE, Neil M, Caballero JG ( 2007 ) . Using ranked nodes to model qualitative judgments in Bayesian Networks . IEEE T KNOWL DATA EN vol. 19 , ( 10 ) 1420 - 1432 .

Radliński Ł, Fenton NE, Marquez D, Hearty P ( 2007 ) . Empirical Analysis of Software Defect Types . Information Systems Architecture and Technology: Information Technology and Web Engineering: Models, Concepts & Challenges (Proceedings of 28 International ISAT Conference) , Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław ( Szklarska, Poreba, Poland ),

Hall T, Fenton N ( 2007 ) . Implementing effective software metrics programs . Software Management, Seventh Edition ,

Radliński Ł, Fenton NE, Neil M, Marquez D ( 2007 ) . Improved Decision-Making for Software Managers Using Bayesian Networks .

Fenton NE ( 2007 ) . Making Sense of Probability: Fallacies, Myths and Puzzles . Queen Mary, University of London and Agena Ltd Notes: Making Sense of Probability: Fallacies, Myths and Puzzles fenton_prob_web ,

Fenton NE, Neil M ( 2007 ) . Managing Risk in the Modern World: Bayesian Networks and the Applications . London Mathematical Society, Knowledge Transfer Report ( London ),

Radliński Ł, Fenton NE, Neil M, Marquez D ( 2007 ) . Modelling Prior Productivity and Defect Rates in a Causal Model for Software Project Risk Assessment . Polish Journal of Environmental Studies vol. 16 , ( 4A ) 256 - 260 .

Fenton N, Neil M, Marsh W, Hearty P, Marquez D, Krause P, Mishra R ( 2007 ) . Predicting software defects in varying development lifecycles using Bayesian nets . INFORM SOFTWARE TECH vol. 49 , ( 1 ) 32 - 43 .

Fenton NE, Neil M, Marsh W, Hearty P, Radlinski L, Krause P ( 2007 ) . Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction . Conference: ICSE PROMISE (Predictive Models in Software Engineering) 07 ( Minneapolis, USA ) from: 05/2007

Khodakarami V, Fenton N, Neil M ( 2007 ) . Project Scheduling: Improved approach to incorporate uncertainty using Bayesian Networks . Project Management Journal vol. 38 , 39 - 49 .

Neil M, Fenton N, MARSH DWR ( 2006 ) . A Software Metrics Challenge: Data for Project Prediction . Conference: 29th International Conference on Software Engineering (ICSE 2007), Minneapolis, USA

Fenton N, Neil M ( 2006 ) . Comment: Expert elicitation for reliable system design . Statistical Science vol. 21 , ( 4 ) 451 - 453 .

Fenton N, Neil M ( 2006 ) . Expert elicitation for reliable system design - Comment . STAT SCI vol. 21 , ( 4 ) 451 - 453 .

Joseph A, Fenton NE, Neil M ( 2006 ) . Predicting football results using Bayesian nets and other machine learning techniques . KNOWL-BASED SYST vol. 19 , ( 7 ) 544 - 553 .

Fenton N, Wang W ( 2006 ) . Risk and confidence analysis for fuzzy multicriteria decision making . KNOWL-BASED SYST vol. 19 , ( 6 ) 430 - 437 .

FENTON NE ( 2006 ) . Report of Norman Fenton for the Technology and Construction Court, Reference HT 05 181 .

Neil M, FENTON NE ( 2006 ) . AgenaRisk . Agena Ltd

Fenton N ( 2006 ) . Book Review: An Alternative Internet: Radical Media, Politics and Creativity . New Media & Society vol. 8 , ( 1 ) 165 - 167 .

Neil M, FENTON NE, Krause P, Mishra R ( 2006 ) . Bayesian networks for software process control . IEEE Transactions on Software Engineering

Neil M, FENTON NE, Radlinski L ( 2006 ) . Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic Discretisation . Software Engineering Techniques: Design for Quality (Proceedings of SET 2006, Warsaw, Poland, Oct 2006) , Editors: Sacha, K , Springer ( Boston ),

Neil M, Tailor M, Fenton N, Marquez D, Hearty P ( 2006 ) . Modeling Dependable Systems using Hybrid Bayesian Networks . First International Conference on Availability, Reliability and Security (ARES’06) . 817-823 - 817-823 .

Neill M, Tailor M, Marquez D, Fenton N, Hearty P ( 2006 ) . Modeling dependable systems using hybrid Bayesian networks . First International Conference on Availability, Reliability and Security, Proceedings . 817 - 821 .

Neil M, FENTON NE, Marsh W, Mishra R, Krause P ( 2006 ) . Predicting Software Defects in Varying Development Lifecycles using Bayesian Nets . Conference: ICSE (International Conference on Software Engineering) 2006, May 20-28, 2006, Shanghai, China

Neil M, Fenton N, Tailor M ( 2005 ) . Using Bayesian networks to model expected and unexpected operational losses . RISK ANAL vol. 25 , ( 4 ) 963 - 972 .

Fenton N ( 2005 ) . Book Review: Contesting Media Power: Alternative Media in a Networked World . European Journal of Communication vol. 20 , ( 1 ) 121 - 124 .

Fenton NE, Neil M ( 2005 ) . A Critique of Software Defect Prediction Models . Machine Learning Applications in Software Engineering , Editors: Zhang, D, Tsai, JJP , World Scientific Publishing Co

Hearty P, FENTON NE, Neil M, Cates P ( 2005 ) . Automated population of causal models for improved software risk assessment . Conference: 20th IEEE/ACM International Conference on Automated Software Engineering ( Long Beach, California, USA ) from: 07/11/2005 to: 11/11/2005 , 433 - 434 .

Fenton N ( 2005 ) . Baltimore's water supply 1787-1854 - Meeting the needs of a growing city . BALTIMORE CIVIL ENGINEERING HISTORY . 65 - 100 .

NEIL MD, Fenton NE ( 2005 ) . Improved Methods for building large-scale Bayesian Networks . Conference: Uncertainty in Artificial Intelligence (UAI) 2005, Edinburgh University

NEIL MD, Fenton NE ( 2005 ) . Improved Software Defect Prediction . Conference: 10th European SEPG, London

Fenton N, Marsh W, Neil M, Cates P, Forey S, Tailor M ( 2004 ) . Making resource decisions for software projects . ICSE 2004: 26TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, PROCEEDINGS . 397 - 406 .

Fenton N ( 2003 ) . Reviews . European Journal of Communication vol. 18 , ( 4 ) 529 - 532 .

Neil M, FENTON NE ( 2003 ) . Improved Programme Selection . Notes: International Patent, WO/2003/090466 ,

NEIL M, Fenton NE ( 2003 ) . Improved programme selection . no. PCT/GB2003/001604 ,

Neil M, Fenton N, Forey S, Harris R ( 2003 ) . Assessing vehicle reliability using Bayesian networks . GLOBAL VEHICLE RELIABILITY . Editors: Strutt, JE, Hall, PL , 25 - 41 .

Neil M, FENTON NE, Krause P ( 2003 ) . Software Quality Prediction Using Bayesian Networks . Software Engineering with Computational Intelligence. Khoshgoftaar, TM (ed) , Kluwer

Fenton N, Krause P, Neil M ( 2002 ) . Software measurement: Uncertainty and causal modeling . IEEE SOFTWARE vol. 19 , ( 4 ) 116 - + .

Fenton N ( 2002 ) . Bayesian Belief Networks (BBNs) . Encyclopedia of Software Engineering ,

Fenton NE, Krause P, Neil M ( 2002 ) . Probabilistic Modelling for Software Quality Control . Journal of Applied Non-Classical Logics vol. 12 , ( 2 ) 173 - 188 .

Fenton N, Neil M ( 2001 ) . Making decisions: using Bayesian nets and MCDA . KNOWL-BASED SYST vol. 14 , ( 7 ) 307 - 325 .

Fenton N ( 2001 ) . Viewpoint article: Conducting and presenting empirical software engineering . Empirical Software Engineering vol. 6 , ( 3 ) 195 - 200 .

Norman Fenton, Paul Krause, Martin Neil, Crossoak Lane ( 2001 ) . A Probabilistic Model for Software Defect Prediction .

Neil M, Fenton N, Forey S, Harris R ( 2001 ) . Using Bayesian belief networks to predict the reliability of military vehicles . COMPUT CONTROL ENG J vol. 12 , ( 1 ) 11 - 20 .

FENTON NE ( 2001 ) . Conducting and Presenting Empirical Software Engineering . Journal of Empirical Software Engineering vol. 6 , ( 3 ) 195 - 200 .

Bergman L, Fenton N, Verdún JDC, Orci T ( 2001 ) . Perspectives . Software Process Improvement: Metrics, Measurement, and Process Modelling ,

Fenton N, Krause P, Neil M ( 2001 ) . Probabilistic modelling for software quality control . Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) . vol. 2143 , 444 - 453 .

Neil M, FENTON NE, Krause P ( 2001 ) . Software Metrics: Uncertainty and causal Modelling . Conference: EuroSPI conference, Limerick Institute of Technology

Fenton N ( 2000 ) . The problematics of postmodernism for feminist media studies . Media Culture & Society vol. 22 , ( 6 ) 723 - 741 .

Neil M, Fenton N, Nielsen L ( 2000 ) . Building large-scale Bayesian networks . KNOWL ENG REV vol. 15 , ( 3 ) 257 - 284 .

Fenton NE ( 2000 ) . Quantitative analysis of faults and failures in a complex software system . IEEE Transactions on Software Engineering . vol. 26 , 797 - 814 .

Norman Fenton, Martin Neil ( 2000 ) . The "Jury Observation Fallacy" and the use of Bayesian Networks to present Probabilistic Legal Arguments .

Fenton NE, Neil M ( 2000 ) . Software metrics: roadmap . Editors: Finkelstein, A , Conference: ICSE 2000: Proceedings of the Conference on The Future of Software Engineering ( Limerick, Ireland ) 357 - 370 .

Fenton NE, Neil M ( 2000 ) . The Jury Fallacy and the use of Bayesian nets to simplify probabilistic legal arguments . Mathematics Today (Bulletin of the IMA) vol. 36 , ( 6 ) 180 - 187 .

Norman Fenton, Martin Neil ( 1999 ) . Making Decisions: Bayesian Nets and MCDA .

Norman Fenton, Martin Neil ( 1999 ) . Software Metrics and Risk .

Fenton NE, Neil M ( 1999 ) . A critique of software defect prediction models . Software Engineering, IEEE Transactions on vol. 25 , ( 5 ) 675 - 689 .

Finney K, Fenton N, Fedorec A ( 1999 ) . Effects of structure on the comprehensibility of formal specifications . IEE Proceedings in Software vol. 146 , ( 4 ) 193 - 202 .

Deacon D, Fenton N, Bryman A ( 1999 ) . From inception to reception: the natural history of a news item . Media Culture & Society vol. 21 , ( 1 ) 5 - 31 .

Fenton NE, Neil M ( 1999 ) . Software metrics: successes, failures and new directions . Journal of Systems and Software vol. 47 , ( 2-3 ) 149 - 157 .

Fenton N ( 1998 ) . Review Essay: Media Youth and Technological Futures . European Journal of Communication vol. 13 , ( 4 ) 566 - 571 .

Norman E Fenton, Niclas Ohlsson ( 1998 ) . Quantitative Analysis of Faults and Failures in a Complex Software System .

Fenton NE, Neil M ( 1998 ) . A strategy for improving safety related software engineering standards . Software Engineering, IEEE Transactions on vol. 24 , ( 11 ) 1002 - 1013 .

Fenton NE, Littlewood B, Neil M, Strigini L, Sutcliffe A, Wright D ( 1998 ) . Assessing dependability of safety critical systems using diverse evidence . IEE Proceedings Software vol. 145 , ( 1 ) 35 - 39 .

Fenton NE ( 1998 ) . Why most software quality metrics do not measure software quality . Conference: 2nd Annual SQI Sympposium ( Austin, Texas ) from: 04/199828 - 52 .

Morasca S, Briand LC, Basili VR, Weyuker EJ, Zelkowitz MV, Kitchenham B, Pfleeger SL, Fenton N ( 1997 ) . Comments on "Towards a framework for software measurement validation" . IEEE Transactions on Software Engineering vol. 23 , ( 3 ) 187 - 189 .

Fenton N, Pfleeger SL ( 1997 ) . Can formal methods always deliver? . COMPUTER vol. 30 , ( 2 ) 34 - 34 .

Fenton N, Bryman A, Deacon D, Birmingham P ( 1997 ) . ‘Sod off and find us a boffin’: journalists and the social science conference . The Sociological Review vol. 45 , ( 1 ) 1 - 23 .

Ohlsson N, Fenton NE ( 1997 ) . Experience with data collection in a large scale environment . Conference: Workshop on Empirical Studies of Software Maintenance (WESS 97) ( Monterey, California, USA ) 27 - 29 .

Fenton NE ( 1997 ) . How to improve safety-critical standards . Safer Systems: Proc 5th Ann Safety Critical Systems Symp , Editors: Redmill, F, Anderson, T , Springer Verlag

Hall T, Fenton NE ( 1997 ) . Implementing effective software metrics programs . Software, IEEE vol. 14 , ( 2 ) 55 - 65 .

Ohlsson N, Fenton NE ( 1997 ) . Let's start testing some basic software hypotheses! .

Kitchenham B, Pfleeger SL, Fenton N ( 1997 ) . Reply To: Comments On "towards A Framework Of Software Measurement Validation" . Software Engineering, IEEE Transactions on vol. 23 , ( 3 ) 189 - 189 .

Fenton NE, Pfleeger SL ( 1997 ) . Software Metrics: A Rigorous and Practical Approach (2nd Edition) . PWS

Hall T, Fenton NE ( 1996 ) . Software quality programmes: a snapshot of theory versus reality . Software Quality Journal vol. 5 , ( 4 ) 235 - 242 .

Neil M, Littlewood B, Fenton NE ( 1996 ) . Applying Bayesian belief networks to systems dependability assessment . Safety-Critical Systems: the Convergence Of High Tech and Human Factors; Proceedings of the 4th Safety Critical Systems Symposium , Editors: Redmill, F , Springer Verlag

Fenton NE ( 1996 ) . Do standards improve product quality? . IEEE Software vol. 13 , ( 1 ) 22 - 24 .

Finney K, Fenton NE ( 1996 ) . Evaluating the effectiveness of using Z: the claims made about CICS and where we go from here . Journal of Systems and Software vol. 35 , ( 3 ) 206 - 219 .

Bieman JM, Fenton NE, Gustafson DA, Melton A, Ott LM ( 1996 ) . Fundamental issues in software measurement . Software Measurement , Editors: Melton, A , International Thomson Computer Press

Fenton NE, Melton A ( 1996 ) . Measurement theory and software measurement . Software Measurement , Editors: Melton, A , International Thomson Computer Press

Schneidewind NF, Fenton N ( 1996 ) . Point counterpoint: do standards improve quality? . Software, IEEE vol. 13 , ( 1 ) 22 - 24 .

Strigini L, Fenton NE ( 1996 ) . Rigorously assessing software reliability and safety .

Fenton NE ( 1996 ) . The empirical basis for software engineering . Software Measurement , Editors: Melton, A , International Thomson Computer Press

Fenton NE ( 1996 ) . The role of measurement in software safety assessment . Safety and Reliability of Software Based Systems , Editors: Shaw, R , Springer Verlag

Fenton NE ( 1995 ) . Software Measurement: A Necessary Scientific Basis . Predictably Dependable Computing Systems ,

Littlewood B, Brocklehurst S, Fenton N, Mellor P, Page S, Wright D, Dobson J, McDermid J et al. ( 1995 ) . Towards Operational Measures of Computer Security: Concepts . Predictably Dependable Computing Systems ,

Kitchenham B, Pfleeger SL, Fenton N ( 1995 ) . Towards a framework for software measurement validation . Software Engineering, IEEE Transactions on vol. 21 , ( 12 ) 929 - 944 .

EBERT C, FENTON N ( 1994 ) . CONTROVERSY REVISITED . JOURNAL OF SYSTEMS AND SOFTWARE vol. 27 , ( 2 ) 154 - 154 .

FENTON N, PFLEEGER SL, GLASS B ( 1994 ) . WHATS WRONG WITH INCREMENTAL DEVELOPMENT - REPLY . IEEE SOFTWARE vol. 11 , ( 5 ) 8 - 8 .

Pfleeger SL, Fenton N, Page S ( 1994 ) . Evaluating software engineering standards . Computer vol. 27 , ( 9 ) 71 - 79 .

Hall T, Fenton NE ( 1994 ) . Implementing software metrics - the critical success factors . Software Quality Journal vol. 3 , ( 4 ) 195 - 208 .

Fenton NE, Pfleeger SL, Glass RL ( 1994 ) . Science and substance: a challenge to software engineers . Software, IEEE vol. 11 , ( 4 ) 86 - 95 .

Fenton NE ( 1994 ) . Software Metrics: a Practitioner's Guide to Improved Product Development . Software Engineering Journal vol. 9 , ( 1 )

Fenton N ( 1994 ) . Software engineering metrics. Vol. 1: Measures and validations. Martin Shepperd, Published by McGraw‐Hill Book Company Europe, Maidenhead, U.K., 1993. ISBN 0‐07‐707410‐6, 302 pages. Price: £35.00, hard cover . Software Testing Verification and Reliability vol. 4 , ( 2 ) 119 - 119 .

Fenton NE ( 1994 ) . Software measurement: a necessary scientific basis . Software Engineering, IEEE Transactions on vol. 20 , ( 3 ) 199 - 206 .

Devine C, Fenton NE, Page S ( 1993 ) . Deficiencies in existing software engineering standards as exposed by SMARTIE .

Fenton NE, Littlewood B, Page S ( 1993 ) . Evaluating software engineering standards and methods . Software Engineering: A European Perspective , Editors: Thayer, R, McGettrick, AD , IEEE Computer Society Press

Fenton NE ( 1993 ) . How effective are software engineering methods? . Journal of Systems and Software vol. 22 , ( 2 ) 93 - 100 .

Fenton N ( 1993 ) . Position paper . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . vol. 706 LNCS , 60 - 61 .

Fenton N ( 1993 ) . Session 2 summary: Objectives and context of measurement/experimentation . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . vol. 706 LNCS , 82 - 86 .

Fenton NE, Page S, Devine C ( 1993 ) . Software engineering standards: evaluation and improvements .

Fenton NE, Hill G ( 1993 ) . Systems Construction and Analysis: A Mathematical and Logical Approach . Editors: Ince, D , McGraw Hill ( Maidenhead, UK ),

Fenton NE ( 1993 ) . The effectiveness of software engineering methods .

Littlewood B, Brocklehurst S, Fenton NE, Mellor P, Page S, Wright D, Dobson J, McDermid J et al. ( 1993 ) . Towards operational measures of security . Journal of Computer Security vol. 2 , 211 - 229 .

Fenton NE, Page S ( 1993 ) . Towards the evaluation of software engineering standards .

Bieman J, Fenton NE, Gustafson D, Melton A, Whitty RW ( 1992 ) . Moving from philosophy to practice in software measurement . Formal Aspects of Software Measurement , Editors: Denvir, T, Herman, R, Whitty, R , Springer Verlag

Fenton NE ( 1992 ) . Software measurement: why a formal approach? .

Fenton N ( 1992 ) . Software quality: Theory and management. Alan C. Gillies. Published by Chapman & Hall, London, U.K., 1992. ISBN 0 412 4513 0, 250 pages. Price: £19.95, Soft Cover . Software Testing, Verification and Reliability vol. 2 , ( 3 ) 155 - 155 .

Fenton NE ( 1992 ) . When a software measure is not a measure . Software Engineering Journal vol. 7 , ( 5 ) 357 - 362 .

FENTON NE, WHITTY RW ( 1991 ) . PROGRAM STRUCTURES - SOME NEW CHARACTERIZATIONS . JOURNAL OF COMPUTER AND SYSTEM SCIENCES . vol. 43 , 467 - 483 .

Fenton N ( 1991 ) . Software complexity. Measures and methods: Horst Zuse 605 pages, ISBN 3‐11‐012226‐X; DM 158, US $99.95; Published by Walter de Gruyter, Berlin. New York . Software Testing Verification and Reliability vol. 1 , ( 3 ) 41 - 42 .

Fenton NE, Whitty RW ( 1991 ) . Program structures: some new characterizations . J Computer and System Sciences vol. 43 , ( 3 ) 467 - 483 .

Fenton NE ( 1991 ) . Software Metrics: A Rigorous Approach . Chapman Hall ( London ),

Fenton NE, Littlewood B ( 1991 ) . Software Reliability and Metrics . Elsevier

Fenton NE ( 1991 ) . The mathematics of complexity in computing and software engineering .

Fenton NE, Kitchenham BA ( 1991 ) . Validating software measures . J Software Testing, Verification & Reliability vol. 1 , ( 2 ) 27 - 42 .

FENTON N ( 1990 ) . STREET CHILDREN . NEW STATESMAN & SOCIETY vol. 3 , ( 88 ) 7 - 7 .

Baker AL, Bieman JM, Fenton NE, Gustafson D, Melton A ( 1990 ) . A philosophy for software measurement . Journal of Systems and Software vol. 12 , ( 3 ) 277 - 281 .

Fenton NE, Melton A ( 1990 ) . Deriving structurally based software measures . Journal of Systems and Software vol. 12 , ( 3 ) 177 - 187 .

Bush M, Fenton NE ( 1990 ) . Software measurement: a conceptual framework . Journal of Systems and Software vol. 12 , ( 3 ) 223 - 231 .

Fenton NE ( 1990 ) . Software metrics: theory, tools and validation . Software Engineering Journal vol. 5 , ( 1 ) 65 - 78 .

Corner J, Richardson K, Fenton N ( 1990 ) . Textualizing risk: TV discourse and the issue of nuclear energy . Media Culture & Society vol. 12 , ( 1 ) 105 - 124 .

Fenton NE ( 1989 ) . Software measurement and analysis: a case study in collaborative research . Proceedings of the Hawaii International Conference on System Science . vol. 2 , 95 - 104 .

Bache R, Fenton NE, Tinker R, Whitty RW ( 1988 ) . Software quality assurance, a rigorous engineering practice . IEE Conference Publication . 3 - 7 .

Fenton NE, Mole D ( 1988 ) . A note on the use of Z for flowgraph decomposition . Information & Software Technology vol. 30 , ( 7 ) 432 - 437 .

Fenton NE, Kaposi AA ( 1987 ) . Metrics and software structure . Information & Software Technology vol. 29 , ( 6 ) 301 - 320 .

FENTON NE, WHITTY RW ( 1986 ) . AXIOMATIC APPROACH TO SOFTWARE METRICATION THROUGH PROGRAM DECOMPOSITION . COMPUTER JOURNAL vol. 29 , ( 4 ) 330 - 339 .

Fenton NE, Whitty RW ( 1986 ) . Axiomatic approach to software metrication through program decomposition . The Computer Journal vol. 29 , ( 4 ) 329 - 339 .

Fenton N ( 1985 ) . Network service for data exchange . Computer Communications vol. 8 , ( 5 ) 227 - 230 .

FENTON NE, WHITTY RW, KAPOSI AA ( 1985 ) . A GENERALIZED MATHEMATICAL-THEORY OF STRUCTURED PROGRAMMING . THEORETICAL COMPUTER SCIENCE vol. 36 , ( 2-3 ) 145 - 171 .

WHITTY RW, FENTON NE, KAPOSI AA ( 1985 ) . A RIGOROUS APPROACH TO STRUCTURAL-ANALYSIS AND METRICATION OF SOFTWARE . SOFTWARE & MICROSYSTEMS vol. 4 , ( 1 ) 2 - 16 .

Fenton NE, Whitty RW, Kaposi AA ( 1985 ) . A generalised mathematical theory of structured programming . Theoretical Computer Science vol. 36 , 145 - 171 .

Whitty RW, Fenton NE, Kaposi AA ( 1985 ) . A rigorous approach to structural analysis and metrication of software . IEE Software and Microsystems vol. 4 , ( 1 ) 2 - 16 .

Whitty RW, Fenton NE ( 1985 ) . An axiomatic approach to systems complexity . Designing for systems maturity , Pergamon Infotech Ltd.

Whitty RW, Fenton NE, Kaposi AA ( 1985 ) . Structured programming: a tutorial guide . IEE Software and Microsystems vol. 3 , ( 3 ) 54 - 65 .

Fenton NE ( 1985 ) . The structural complexity of flowgraphs . Editors: Y, A, Chartrand, G, Lesniak, L, Lick et al. , Conference: Graph Theory and its applications to Algorithms and Computer Science273 - 282 .

Fenton N ( 1984 ) . Standards for electronic data exchange . Computer Communications vol. 7 , ( 4 ) 181 - 185 .

Fenton NE ( 1984 ) . Matroid Representation of Projective Spaces . European Journal of Combinatorics vol. 5 , ( 2 ) 123 - 126 .

Fenton NE ( 1984 ) . Matroid Representations: an algebraic treatment . Quart. J. Math. Oxford vol. 35 , ( 3 ) 263 - 280 .

Fenton NE ( 1984 ) . Representations of projective geometries . European J. Combinatorics vol. 5 , 123 - 126 .

Fenton NE ( 1983 ) . Characterisation of Atomic Matroids . Quart. J. Math. Oxford vol. 34 , ( 2 ) 49 - 60 .

Fenton NE, Vamos P ( 1982 ) . Matroid interpretation of maximal k-arcs in projective spaces . Rend. di Matematica vol. 3 (2), Serie VII , 573 - 580 .

FENTON N ( 1981 ) . Representation of Matroids . Presented at: Sheffield University, Dept of Mathematics ,

Fenton NE ( 1981 ) . Representation of Matroids (PhD Thesis) . Sheffield University, Mathematics Notes: Representation of Matroids fentonphd ,