Measures for maintenance management: A case study. - Martin Neil; Robert J. Cole; David Slater (J. Softw. Maintenance Res. Pract., 1990)

Multivariate Assessment of Software Products. - Martin Neil (Softw. Test. Verification Reliab., 1992)

Data linkage maps. - Martin Neil; Richard Bache (J. Softw. Maintenance Res. Pract., 1993)

Metrics and Models in Software Quality Engineering, by Stephen H. Kan, Addison-Wesley, 1995 (Book Review). - Martin Neil (Softw. Test. Verification Reliab., 1995)

Applying Bayesian Belief Networks to System Dependability Assessment. - Martin Neil; Bev Littlewood; Norman E. Fenton (SSS, 1996)

Are software failures deterministic? - Martin Neil (Inf. Softw. Technol., 1997)

Assesing dependability of safety critical systems using diverse evidence. - Norman E. Fenton; Bev Littlewood; Martin Neil; Lorenzo Strigini; Alistair G. Sutcliffe; David Wright 001 (IEE Proc. Softw., 1998)

A Strategy for Improving Safety Related Software Engineering Standards. - Norman E. Fenton; Martin Neil (IEEE Trans. Software Eng., 1998)

Lessons from Using Z to Specify a Software Tool. - Martin Neil; Gary Ostrolenk; Mary Tobin; Mark Southworth (IEEE Trans. Software Eng., 1998)

Software metrics: successes, failures and new directions. - Norman E. Fenton; Martin Neil (J. Syst. Softw., 1999)

A Critique of Software Defect Prediction Models. - Norman E. Fenton; Martin Neil (IEEE Trans. Software Eng., 1999)

Software metrics: roadmap. - Norman E. Fenton; Martin Neil (ICSE - Future of SE Track, 2000)

Probabilistic Modelling for Software Quality Control. - Norman E. Fenton; Paul Krause; Martin Neil (ECSQARU, 2001)

Making decisions: using Bayesian nets and MCDA. - Norman E. Fenton; Martin Neil (Knowl. Based Syst., 2001)

Probability modelling for software quality control. - Norman E. Fenton; Paul Krause; Martin Neil (J. Appl. Non Class. Logics, 2002)

Software Measurement: Uncertainty and Causal Modeling. - Norman E. Fenton; Paul Krause; Martin Neil (IEEE Softw., 2002)

Making Resource Decisions for Software Projects. - Norman E. Fenton; William Marsh 001; Martin Neil; Patrick Cates; Simon Forey; Manesh Tailor (ICSE, 2004)

Automated population of causal models for improved software risk assessment. - Peter Stewart Hearty; Norman E. Fenton; Martin Neil; Patrick Cates (ASE, 2005)

Modeling Dependable Systems using Hybrid Bayesian Networks. - Martin Neil; Manesh Tailor; Norman E. Fenton; David Marquez; Peter Stewart Hearty (ARES, 2006)

Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic Discretisation. - Norman E. Fenton; Lukasz Radlinski; Martin Neil (SET, 2006)

Predicting football results using Bayesian nets and other machine learning techniques. - Anito Joseph; Norman E. Fenton; Martin Neil (Knowl. Based Syst., 2006)

Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction. - Norman E. Fenton; Martin Neil; William Marsh 001; Peter Stewart Hearty; Lukasz Radlinski; Paul Krause (PROMISE@ICSE, 2007)

Predicting software defects in varying development lifecycles using Bayesian nets. - Norman E. Fenton; Martin Neil; William Marsh 001; Peter Stewart Hearty; David Marquez; Paul Krause; Rajat Mishra (Inf. Softw. Technol., 2007)

Inference in hybrid Bayesian networks using dynamic discretization. - Martin Neil; Manesh Tailor; David Marquez (Stat. Comput., 2007)

Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks. - Norman E. Fenton; Martin Neil; Jose Galan Caballero (IEEE Trans. Knowl. Data Eng., 2007)

On the effectiveness of early life cycle defect prediction with Bayesian Nets. - Norman E. Fenton; Martin Neil; William Marsh 001; Peter Stewart Hearty; Lukasz Radlinski; Paul Krause (Empir. Softw. Eng., 2008)

Modelling dependable systems using hybrid Bayesian networks. - Martin Neil; Manesh Tailor; David Marquez; Norman E. Fenton; Peter Stewart Hearty (Reliab. Eng. Syst. Saf., 2008)

Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model. - Peter Stewart Hearty; Norman E. Fenton; David Marquez; Martin Neil (IEEE Trans. Software Eng., 2009)

Comparing risks of alternative medical diagnosis using Bayesian arguments. - Norman E. Fenton; Martin Neil (J. Biomed. Informatics, 2010)

Improved reliability modeling using Bayesian networks and dynamic discretization. - David Marquez; Martin Neil; Norman E. Fenton (Reliab. Eng. Syst. Saf., 2010)

Availability modelling of repairable systems using Bayesian networks. - Martin Neil; David Marquez (Eng. Appl. Artif. Intell., 2012)

pi-football: A Bayesian network model for forecasting Association Football match outcomes. - Anthony C. Constantinou; Norman E. Fenton; Martin Neil (Knowl. Based Syst., 2012)

Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks Using Binary Factorization. - Martin Neil; Xiaoli Chen; Norman E. Fenton (IEEE Trans. Knowl. Data Eng., 2012)

Incorporating Expert Judgement into Bayesian Network Machine Learning. - Yun Zhou 001; Norman E. Fenton; Martin Neil; Cheng Zhu 002 (IJCAI, 2013)

Fast Approximate Inference in Hybrid Bayesian Networks Using Dynamic Discretisation. - Helge Langseth; David Marquez; Martin Neil (IWINAC (1), 2013)

Legal idioms: a framework for evidential reasoning. - David A. Lagnado; Norman E. Fenton; Martin Neil (Argument Comput., 2013)

A General Structure for Legal Arguments About Evidence Using Bayesian Networks. - Norman E. Fenton; Martin Neil; David A. Lagnado (Cogn. Sci., 2013)

Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks. - Anthony C. Constantinou; Norman E. Fenton; Martin Neil (Knowl. Based Syst., 2013)

An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints. - Yun Zhou 001; Norman E. Fenton; Martin Neil (Probabilistic Graphical Models, 2014)

Calculating and understanding the value of any type of match evidence when there are potential testing errors. - Norman E. Fenton; Martin Neil; Anne Hsu (Artif. Intell. Law, 2014)

Bayesian network approach to multinomial parameter learning using data and expert judgments. - Yun Zhou 001; Norman E. Fenton; Martin Neil (Int. J. Approx. Reason., 2014)

Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks. - Norman E. Fenton; Martin Neil (IEEE Softw., 2014)

Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. - Yun Zhou 001; Norman E. Fenton; Timothy M. Hospedales; Martin Neil (UAI, 2015)

Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences. - Anthony Costa Constantinou; Barbaros Yet; Norman E. Fenton; Martin Neil; William Marsh 001 (Artif. Intell. Medicine, 2016)

Region Based Approximation for High Dimensional Bayesian Network Models. - Peng Lin; Martin Neil; Norman E. Fenton (CoRR, 2016)

Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved. - Anthony Costa Constantinou; Norman E. Fenton; Martin Neil (Expert Syst. Appl., 2016)

A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study. - Barbaros Yet; Anthony C. Constantinou; Norman E. Fenton; Martin Neil; Eike Luedeling; Keith D. Shepherd (Expert Syst. Appl., 2016)

How to model mutually exclusive events based on independent causal pathways in Bayesian network models. - Norman E. Fenton; Martin Neil; David A. Lagnado; William Marsh 001; Barbaros Yet; Anthony C. Constantinou (Knowl. Based Syst., 2016)

The opportunity prior: a simple and practical solution to the prior probability problem for legal cases. - Norman E. Fenton; David A. Lagnado; Christian Dahlman; Martin Neil (ICAIL, 2017)

Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization. - Barbaros Yet; Anthony C. Constantinou; Norman E. Fenton; Martin Neil (IEEE Access, 2018)

An improved method for solving Hybrid Influence Diagrams. - Barbaros Yet; Martin Neil; Norman E. Fenton; Anthony C. Constantinou; Eugene Dementiev (Int. J. Approx. Reason., 2018)

Modelling competing legal arguments using Bayesian model comparison and averaging. - Martin Neil; Norman E. Fenton; David A. Lagnado; Richard David Gill (Artif. Intell. Law, 2019)

Simpson's Paradox and the implications for medical trials. - Norman E. Fenton; Martin Neil; Anthony C. Constantinou (CoRR, 2019)

An Extension to the Noisy-OR Function to Resolve the 'Explaining Away' Deficiency for Practical Bayesian Network Problems. - Norman E. Fenton; Takao Noguchi; Martin Neil (IEEE Trans. Knowl. Data Eng., 2019)

Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes. - Takao Noguchi; Norman E. Fenton; Martin Neil (IEEE Trans. Knowl. Data Eng., 2019)

Real-time Online Probabilistic Medical Computation using Bayesian Networks. - Scott McLachlan; Haydn Paterson; Kudakwashe Dube; Evangelia Kyrimi; Eugene Dementiev; Martin Neil; Bridget J. Daley; Graham A. Hitman; Norman E. Fenton (ICHI, 2020)

The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie. Basic Books (2018). - Norman E. Fenton; Martin Neil; Anthony C. Constantinou (Artif. Intell., 2020)

A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model. - Jiali Wang; Martin Neil; Norman E. Fenton (Comput. Secur., 2020)

Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing? - Scott McLachlan; Peter Lucas; Kudakwashe Dube; Graham A. Hitman; Magda Osman; Evangelia Kyrimi; Martin Neil; Norman E. Fenton (CoRR, 2020)

The role of collider bias in understanding statistics on racially biased policing. - Norman E. Fenton; Martin Neil; Steven Frazier (CoRR, 2020)

Product risk assessment: a Bayesian network approach. - Joshua Hunte; Martin Neil; Norman E. Fenton (CoRR, 2020)

Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction. - Peng Lin; Martin Neil; Norman E. Fenton (J. Artif. Intell. Res., 2020)

Medical idioms for clinical Bayesian network development. - Evangelia Kyrimi; Mariana Raniere Neves; Scott McLachlan; Martin Neil; William Marsh 001; Norman E. Fenton (J. Biomed. Informatics, 2020)

Analyzing the Simonshaven Case Using Bayesian Networks. - Norman E. Fenton; Martin Neil; Barbaros Yet; David A. Lagnado (Top. Cogn. Sci., 2020)

A Study of Using Bethe/Kikuchi Approximation for Learning Directed Graphic Models. - Peng Lin; Martin Neil; Norman E. Fenton (IEEE Access, 2021)

How do some Bayesian Network machine learned graphs compare to causal knowledge? - Anthony C. Constantinou; Norman E. Fenton; Martin Neil (CoRR, 2021)

A Bayesian-network-based cybersecurity adversarial risk analysis framework with numerical examples. - Jiali Wang; Martin Neil (CoRR, 2021)

Product safety idioms: a method for building causal Bayesian networks for product safety and risk assessment. - Joshua Hunte; Martin Neil; Norman E. Fenton (CoRR, 2022)

Region-based estimation of the partition functions for hybrid Bayesian network models. - Peng Lin; Martin Neil; Norman E. Fenton; Eugene Dementiev (Int. J. Intell. Syst., 2022)

Smart automotive technology adherence to the law: (de)constructing road rules for autonomous system development, verification and safety. - Scott McLachlan; Martin Neil; Kudakwashe Dube; Ronny Bogani; Norman E. Fenton; Burkhard Schafer 001 (Int. J. Law Inf. Technol., 2022)

Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and Wales. - Scott McLachlan; Bridget J. Daley; Sam Saidi; Evangelia Kyrimi; Kudakwashe Dube; Crina Grosan; Martin Neil; Louise Rose; Norman E. Fenton (BIOSTEC (2), 2024)

A hybrid Bayesian network for medical device risk assessment and management. - Joshua Hunte; Martin Neil; Norman E. Fenton (Reliab. Eng. Syst. Saf., 2024)

A Bayesian Network model of pregnancy outcomes for England and Wales. - Scott McLachlan; Bridget J. Daley; Sam Saidi; Evangelia Kyrimi; Kudakwashe Dube; Crina Grosan; Martin Neil; Louise Rose; Norman E. Fenton (Comput. Biol. Medicine, 2025)

Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models. - Peng Lin; Martin Neil; Norman E. Fenton (ACM Trans. Knowl. Discov. Data, 2025)