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Publications:  Prof Norman Fenton

CONSTANTINOU AC, FENTON N(2018). Things to know about Bayesian networks. Significance
10.1111/j.1740-9713.2018.01126.x
http://qmro.qmul.ac.uk/xmlui/handle/123456789/36560
FENTON NE(2018). Evidence based decision making turns knowledge into power. EU Research38-39.
http://qmro.qmul.ac.uk/xmlui/handle/123456789/36504
Yet B, Neil M, Fenton N et al.(2018). An improved method for solving Hybrid Influence Diagrams. International Journal of Approximate Reasoning vol. 95, 93-112.
10.1016/j.ijar.2018.01.006
http://qmro.qmul.ac.uk/xmlui/handle/123456789/32419
McLachlan S, Dube K, Buchanan D et al.(2018). Learning Health Systems: The research community awareness challenge. J Innov Health Inform vol. 25, (1)
10.14236/jhi.v25i1.981
FENTON NE, NEIL M(2018). Lawnmowers versus terrorists: A highly misleading view of risk. Significance vol. 15, (1) 12-15.
10.1111/j.1740-9713.2018.01104.x
http://qmro.qmul.ac.uk/xmlui/handle/123456789/32903
Yet B, Constantinou A, Fenton N et al.(2018). Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization. IEEE Access vol. 6, 7802-7817.
10.1109/ACCESS.2018.2799527
http://qmro.qmul.ac.uk/xmlui/handle/123456789/32418
FENTON NE, NEIL M (2018). Are lawnmowers a greater risk than terrorists?. Abstract: java.sql.Clob org.hibernate.engine.jdbc.WrappedClob java.io.Serializable ,
Publisher URL
http://qmro.qmul.ac.uk/xmlui/handle/123456789/32843
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)
10.13140/RG.2.2.35414.55360
http://qmro.qmul.ac.uk/xmlui/handle/123456789/32923
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)
10.13140/RG.2.2.17798.47689
http://qmro.qmul.ac.uk/xmlui/handle/123456789/32883
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)
10.1371/journal.pone.0179297
http://qmro.qmul.ac.uk/xmlui/handle/123456789/24776
FENTON NE, Lagnado D, Dahlman C et al. (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,
10.1145/3086512.3086519
http://qmro.qmul.ac.uk/xmlui/handle/123456789/22709
CONSTANTINOU AC, Fenton NORMAN(2017). Towards Smart-Data: Improving predictive accuracy in long-term football team performance. Knowledge-Based Systems
10.1016/j.knosys.2017.03.005
http://qmro.qmul.ac.uk/xmlui/handle/123456789/22040
Fenton N, Neil M, Lagnado D et al.(2016). How to model mutually exclusive events based on independent causal pathways in Bayesian network models. Knowledge-Based Systems
10.1016/j.knosys.2016.09.012
http://qmro.qmul.ac.uk/xmlui/handle/123456789/15923
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.
http://qmro.qmul.ac.uk/xmlui/handle/123456789/13925
Zhou Y, Hospedales TM, Fenton N(2016). When and Where to Transfer for Bayes Net Parameter Learning. Expert Syst Appl vol. 55, 361-373.
10.1016/j.eswa.2016.02.011
http://qmro.qmul.ac.uk/xmlui/handle/123456789/11216
Constantinou A, Fenton N(2016). Improving predictive accuracy using smart-data: The case of football teams' evolving performance. Knowledge-Based Systems
10.1016/j.knosys.2017.01.015
Fenton N, Neil M, Berger D(2016). Bayes and the Law. Annu Rev Stat Appl vol. 3, 51-77.
10.1146/annurev-statistics-041715-033428
http://qmro.qmul.ac.uk/xmlui/handle/123456789/12068
FENTON NE, Smit N, Lagnado D et al.(2016). Using Bayesian networks to guide the assessment of new evidence in an appeal case. Crime Science vol. 5, (9)
10.1186/s40163-016-0057-6
http://qmro.qmul.ac.uk/xmlui/handle/123456789/12634
FENTON NE, Zhou Y, Zhu C(2016). An Empirical Study of Bayesian Network Parameter Learning with Monotonic Influence Constraints. Decision Support Systems
10.1016/j.dss.2016.05.001
http://qmro.qmul.ac.uk/xmlui/handle/123456789/12497
Yet B, CONSTANTINOU AC, Fenton N et al.(2016). A Bayesian Network Framework for Project Cost, Benefit and Risk Analysis with an Agricultural Development Case Study. Expert Systems with Applications
10.1016/j.eswa.2016.05.005
http://qmro.qmul.ac.uk/xmlui/handle/123456789/12375
CONSTANTINOU AC, FENTON N, NEIL M(2016). Integrating expert knowledge with data in causal probabilistic networks: Preserving data-driven expectations when the expert variables remain unobserved. Expert Systems with Applications
10.1016/j.eswa.2016.02.050
http://qmro.qmul.ac.uk/xmlui/handle/123456789/11586
Constantinou AC, Fenton N, Marsh W et al.(2016). From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support. Artif Intell Med vol. 67, 75-93.
10.1016/j.artmed.2016.01.002
http://qmro.qmul.ac.uk/xmlui/handle/123456789/11587
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.
http://qmro.qmul.ac.uk/xmlui/handle/123456789/14960
Constantinou AC, Yet B, Fenton N et al.(2016). Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences. Artificial Intelligence in Medicine vol. 66, 41-52.
10.1016/j.artmed.2015.09.002
Constantinou AC, Yet B, Fenton N et al.(2016). Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences. Artif Intell Med vol. 66, 41-52.
10.1016/j.artmed.2015.09.002
http://qmro.qmul.ac.uk/xmlui/handle/123456789/10760
Constantinou AC, Freestone M, Marsh W et al.(2015). Risk assessment and risk management of violent re-offending among prisoners. Expert Systems with Applications vol. 42, (21)
10.1016/j.eswa.2015.05.025
http://qmro.qmul.ac.uk/xmlui/handle/123456789/15804
FENTON NE, Zhou Y, Hospedales T et al. (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.
http://qmro.qmul.ac.uk/xmlui/handle/123456789/10816
Shepherd K, Hubbard D, Fenton N et al.(2015). Policy: Development goals should enable decision-making. NATURE vol. 523, (7559) 152-154.
10.1038/523152a
Shepherd K, Hubbard D, Fenton N et al.(2015). Policy: Development goals should enable decision-making. Nature vol. 523, (7559) 152-154.
10.1038/523152a
FENTON NE, Chockler H, Keppens J et al. (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.
10.1145/2746090.2746102
Chockler H, Fenton N, Keppens J et al. (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.
10.1145/2746090.2746102
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 ,
10.13140/RG.2.1.3292.8166
http://qmro.qmul.ac.uk/xmlui/handle/123456789/11918
de Zoete J, Sjerps M, Lagnado D et al.(2015). Modelling crime linkage with Bayesian networks. Sci Justice vol. 55, (3) 209-217.
10.1016/j.scijus.2014.11.005
de Zoete J, Sjerps M, Lagnado D et al.(2015). Modelling crime linkage with Bayesian networks. Science and Justice vol. 55, (3) 209-217.
10.1016/j.scijus.2014.11.005
Zhou Y, Fenton N, Hospedales TM et al. (2015). Probabilistic graphical models parameter learning with transferred prior and constraints. Uncertainty in Artificial Intelligence - Proceedings of the 31st Conference, UAI 2015. 972-981.
http://qmro.qmul.ac.uk/xmlui/handle/123456789/31981
Fenton N(2014). Assessing evidence and testing appropriate hypotheses. Sci Justice vol. 54, (6) 502-504.
10.1016/j.scijus.2014.10.007
http://qmro.qmul.ac.uk/xmlui/handle/123456789/6480
Fenton N, Bieman J(2014). Software Metrics A Rigorous and Practical Approach, Third Edition. CRC Press
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.
10.1017/S1748499514000098
http://qmro.qmul.ac.uk/xmlui/handle/123456789/10752
Fenton N, Lagnado D, Hsu A et al.(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.
10.1016/j.scijus.2014.05.005
Yet B, Perkins Z, Fenton N et al.(2014). Not just data: a method for improving prediction with knowledge. J Biomed Inform vol. 48, 28-37.
10.1016/j.jbi.2013.10.012
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.
http://qmro.qmul.ac.uk/xmlui/handle/123456789/12047
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.
10.1016/j.ijar.2014.02.008
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.
10.1016/j.psychsport.2014.05.009
http://qmro.qmul.ac.uk/xmlui/handle/123456789/10772
Fenton NE, Neil M, Hsu A(2014). 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.
10.1007/s10506-013-9147-x
http://qmro.qmul.ac.uk/xmlui/handle/123456789/7249
Fenton NE, Neil M(2014). Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks. IEEE Software vol. 31, (2) 21-26.
10.1109/MS.2014.32
http://qmro.qmul.ac.uk/xmlui/handle/123456789/7248
Yet B, Perkins Z, Fenton N et al.(2014). Not just data: A method for improving prediction with knowledge. Journal of Biomedical Informatics vol. 48, 28-37.
10.1016/j.jbi.2013.10.012
Fenton N, Berger D, Lagnado D et al.(2014). When 'neutral' evidence still has probative value (with implications from the Barry George Case). Science and Justice vol. 54, (4) 274-287.
10.1016/j.scijus.2013.07.002
http://qmro.qmul.ac.uk/xmlui/handle/123456789/12050
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.
10.1016/j.knosys.2013.05.008
http://qmro.qmul.ac.uk/xmlui/handle/123456789/10778
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.
10.1111/cogs.12004
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.
10.1515/jqas-2012-0036
http://qmro.qmul.ac.uk/xmlui/handle/123456789/10776
Zhou Y, Fenton N, Neil M et al. (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 N(2013). PROFITING FROM ARBITRAGE AND ODDS BIASES OF THE EUROPEAN FOOTBALL GAMBLING MARKET. Journal of Gambling Business and Economics vol. 7, (2) 41-70.
http://qmro.qmul.ac.uk/xmlui/handle/123456789/10781
Fenton N, Berger D, Lagnado D et al.(2013). When 'neutral' evidence still has probative value (with implications from the Barry George Case). Science and Justice
10.1016/j.scijus.2013.07.002
http://qmro.qmul.ac.uk/xmlui/handle/123456789/7866
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.
10.1016/j.knosys.2012.07.008
http://qmro.qmul.ac.uk/xmlui/handle/123456789/10780
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.
10.1109/TKDE.2011.87
FENTON NE, Lagnado D, Neil M(2012). Legal idioms: a framework for evidential reasoning. Argument and Computation vol. 4, (1) 46-63.
10.1080/19462166.2012.682656
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,
10.1515/1559-0410.1418
http://qmro.qmul.ac.uk/xmlui/handle/123456789/10783
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(2011). Science and law: Improve statistics in court. Nature vol. 479, (7371) 36-37.
10.1038/479036a
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). 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.
10.1016/j.jbi.2010.02.004
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.
10.1016/j.ress.2009.11.012
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.
10.1109/GCIS.2010.95
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.
10.1016/j.ress.2009.11.012
Fenton NE, Hearty P, Neil M et al.(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.
10.1109/CISE.2009.5364789
Hearty P, Fenton N, Marquez D et al.(2009). Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model. IEEE T SOFTWARE ENG vol. 35, (1) 124-137.
10.1109/TSE.2008.76
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,
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.
10.1109/MED.2008.4602222
Fenton N, Neil M, Marsh W et al.(2008). On the effectiveness of early life cycle defect prediction with Bayesian Nets. EMPIRICAL SOFTWARE ENGINEERING vol. 13, (5) 499-537.
10.1007/s10664-008-9072-x
Neil M, Tailor M, Marquez D et al.(2008). Modelling dependable systems using hybrid Bayesian networks. RELIAB ENG SYST SAFE vol. 93, (7) 933-939.
10.1016/j.ress.2007.03.009
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 et al.(2008). Modelling dependable systems using hybrid Bayesian networks. Reliability Engineering and System Safety vol. 93, (7) 933-939.
10.1016/j.ress.2007.03.009
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.
10.1109/MED.2008.4602222
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. Proceedings of the Institution of Mechanical Engineers, Part O, Journal of Risk and Reliability vol. 222, (4) 701-712.
10.1243/1748006XJRR161
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.
10.1109/TKDE.2007.1068
Radli¿ski ¿, Fenton NE, Marquez D et al.(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),
Radli¿ski ¿, Fenton NE, Neil M et al. (2007). Improved Decision-Making for Software Managers Using Bayesian Networks. Conference: 11th IASTED Int. Conf. Software Engineering and Applications (SEA) (Cambridge, MA, USA) 13-19.
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),
Radli¿ski ¿, Fenton NE, Neil M et al.(2007). Modelling Prior Productivity and Defect Rates in a Causal Model for Software Project Risk Assessment. Polish Journal of Environmental Studies vol. 16, Article 4A, 256-260-256-260.
Fenton N, Neil M, Marsh W et al.(2007). Predicting software defects in varying development lifecycles using Bayesian nets. INFORM SOFTWARE TECH vol. 49, (1) 32-43.
10.1016/j.infsof.2006.09.001
Fenton NE, Neil M, Marsh W et al. (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
10.1109/PROMISE.2007.11
Khodakarami V, Fenton N, Neil M(2007). Project Scheduling: Improved approach to incorporate uncertainty using Bayesian Networks. Project Management Journal vol. 38, 39-49-39-49.
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.
10.1214/088342306000000529
Fenton N, Neil M(2006). Expert elicitation for reliable system design - Comment. STAT SCI vol. 21, (4) 451-453.
10.1214/088342306000000510
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.
10.1016/j.knosys.2006.04.011
Fenton N, Wang W(2006). Risk and confidence analysis for fuzzy multicriteria decision making. KNOWL-BASED SYST vol. 19, (6) 430-437.
10.1016/j.knosys.2006.03.002
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 NE, Radlinski L, Neil M(2006). Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic Discretisation. Software Engineering Techniques: Design for Quality (Prceedings of Software Engineering Techniques 2006, Warsaw, Poland, 17-20 Oct 2006), Editors: Sacha, K, vol. 227, Springer, Boston
Neil M, Tailor M, Fenton N et al. (2006). Modeling Dependable Systems using Hybrid Bayesian Networks. First International Conference on Availability, Reliability and Security (ARES’06). 817-823-817-823.
10.1109/ARES.2006.83
Neill M, Tailor M, Marquez D et al. (2006). Modeling dependable systems using hybrid Bayesian networks. First International Conference on Availability, Reliability and Security, Proceedings. 817-821.
10.1109/ARES.2006.83
Neil M, FENTON NE, Marsh W et al. (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.
10.1111/j.1539-6924.2005.00641.x
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 et al. (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.
10.1145/1101908.1101990
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 et al. (2004). Making resource decisions for software projects. ICSE 2004: 26TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, PROCEEDINGS. 397-406.
10.1109/ICSE.2004.1317462
NEIL M, Fenton NE (2003). Improved programme selection. no. PCT/GB2003/001604,
Neil M, Fenton N, Forey S et al. (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-+.
10.1109/MS.2002.1020298
Fenton NE, Krause P, Neil M(2002). Probabilistic Modelling for Software Quality Control. Journal of Applied Non-Classical Logics vol. 12, (2) 173-188.
10.3166/jancl.12.173-188
FENTON NE, Neil M, Krause P(2002). Probalistic Modelling for Software Quality Control. Journal of Applied Non-Classical Logics vol. 12, (2) 173-188.
10.3166/jancl.12.173-188
Fenton N, Neil M(2001). Making decisions: using Bayesian nets and MCDA. KNOWL-BASED SYST vol. 14, (7) 307-325.
10.1016/S0950-7051(00)00071-X
Fenton N(2001). Viewpoint article: Conducting and presenting empirical software engineering. Empirical Software Engineering vol. 6, (3) 195-200.
10.1023/A:1011449731678
Neil M, Fenton N, Forey S et al.(2001). Using Bayesian belief networks to predict the reliability of military vehicles. COMPUT CONTROL ENG J vol. 12, (1) 11-20.
10.1049/cce:20010103
FENTON NE(2001). Conducting and Presenting Empirical Software Engineering. Journal of Empirical Software Engineering vol. 6, (3) 195-200.
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
Neil M, Fenton N, Nielsen L(2000). Building large-scale Bayesian networks. KNOWL ENG REV vol. 15, (3) 257-284.
10.1017/S0269888900003039
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.
10.1145/336512.336588
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.
Fenton NE, Neil M(1999). A critique of software defect prediction models. Software Engineering, IEEE Transactions on vol. 25, (5) 675-689.
10.1109/32.815326
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.
10.1049/ip-sen:19990600
Fenton NE, Neil M(1999). Software metrics: successes, failures and new directions. Journal of Systems and Software vol. 47, (2-3) 149-157.
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Fenton NE, Neil M(1998). A strategy for improving safety related software engineering standards. Software Engineering, IEEE Transactions on vol. 24, (11) 1002-1013.
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Fenton NE, Littlewood B, Neil M et al.(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.
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.
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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.
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Fenton NE, Pfleeger SL(1997). Software Metrics: A Rigorous and Practical Approach (2nd Edition). PWS
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.
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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.
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Bieman JM, Fenton NE, Gustafson DA et al.(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.
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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
Kitchenham B, Pfleeger SL, Fenton N(1995). Towards a framework for software measurement validation. Software Engineering, IEEE Transactions on vol. 21, (12) 929-944.
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Pfleeger SL, Fenton N, Page S(1994). Evaluating software engineering standards. Computer vol. 27, (9) 71-79.
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Hall T, Fenton NE(1994). Implementing software metrics - the critical success factors. Software Quality Journal vol. 3, (4) 195-208.
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Fenton NE, Pfleeger SL, Glass RL(1994). Science and substance: a challenge to software engineers. Software, IEEE vol. 11, (4) 86-95.
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Fenton NE(1994). Software measurement: a necessary scientific basis. Software Engineering, IEEE Transactions on vol. 20, (3) 199-206.
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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.
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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 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 et al.(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 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. J Computer and System Sciences vol. 43, (3) 467-483.
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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.
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Baker AL, Bieman JM, Fenton NE et al.(1990). A philosophy for software measurement. Journal of Systems and Software vol. 12, (3) 277-281.
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Fenton NE, Melton A(1990). Deriving structurally based software measures. Journal of Systems and Software vol. 12, (3) 177-187.
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Bush M, Fenton NE(1990). Software measurement: a conceptual framework. Journal of Systems and Software vol. 12, (3) 223-231.
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Fenton NE(1990). Software metrics: theory, tools and validation. Software Engineering Journal vol. 5, (1) 65-78.
Fenton NE, Mole D(1988). A note on the use of Z for flowgraph decomposition. Information & Software Technology vol. 30, (7) 432-437.
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Fenton NE, Kaposi AA(1987). Metrics and software structure. Information & Software Technology vol. 29, (6) 301-320.
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Fenton NE, Whitty RW(1986). Axiomatic approach to software metrication through program decomposition. The Computer Journal vol. 29, (4) 329-339.
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Fenton NE, Whitty RW, Kaposi AA(1985). A generalised mathematical theory of structured programming. Theoretical Computer Science vol. 36, 145-171.
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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 NE(1984). Matroid Representations: an algebraic treatment. Quart. J. Math. Oxford vol. 35, (3) 263-280.
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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.
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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,
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