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Norman E. Fenton
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- affiliation: Queen Mary University of London, UK
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2020 – today
- 2024
- [j85]Joshua Hunte, Martin Neil, Norman E. Fenton:
A hybrid Bayesian network for medical device risk assessment and management. Reliab. Eng. Syst. Saf. 241: 109630 (2024) - [c32]Scott McLachlan, Bridget J. Daley, Sam Saidi, Evangelia Kyrimi, Kudakwashe Dube, Crina Grossan, Martin Neil, Louise Rose, Norman E. Fenton:
Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and Wales. BIOSTEC (2) 2024: 604-612 - [i17]Peng Lin, Martin Neil, Norman E. Fenton:
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models. CoRR abs/2402.15075 (2024) - 2023
- [j84]Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Lisa C. Webley:
Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process. Artif. Intell. Law 31(1): 169-194 (2023) - [j83]Stephen H. Dewitt, Nine Adler, Carmen Li, Ekaterina Stoilova, Norman E. Fenton, David A. Lagnado:
Categorical Updating in a Bayesian Propensity Problem. Cogn. Sci. 47(7) (2023) - 2022
- [j82]Peng Lin, Martin Neil, Norman E. Fenton, Eugene Dementiev:
Region-based estimation of the partition functions for hybrid Bayesian network models. Int. J. Intell. Syst. 37(11): 8897-8927 (2022) - [j81]Scott McLachlan, Martin Neil, Kudakwashe Dube, Ronny Bogani, Norman E. Fenton, Burkhard Schafer:
Smart automotive technology adherence to the law: (de)constructing road rules for autonomous system development, verification and safety. Int. J. Law Inf. Technol. 29(4): 255-295 (2022) - [i16]Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Burkhard Schafer:
The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law. CoRR abs/2202.02734 (2022) - [i15]Scott McLachlan, Kudakwashe Dube, Burkhard Schafer, Anthony Gillespie, Norman E. Fenton:
The Chaotic State of UK Drone Regulation. CoRR abs/2205.01041 (2022) - [i14]Joshua Hunte, Martin Neil, Norman E. Fenton:
Product safety idioms: a method for building causal Bayesian networks for product safety and risk assessment. CoRR abs/2206.02144 (2022) - [i13]Joshua Hunte, Martin Neil, Norman E. Fenton:
A hybrid Bayesian network for medical device risk assessment and management. CoRR abs/2209.03352 (2022) - 2021
- [j80]Peng Lin, Martin Neil, Norman E. Fenton:
A Study of Using Bethe/Kikuchi Approximation for Learning Directed Graphic Models. IEEE Access 9: 125428-125438 (2021) - [j79]Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Ali Fahmi, Mariana Raniere Neves, William Marsh, Scott McLachlan:
Bayesian networks in healthcare: What is preventing their adoption? Artif. Intell. Medicine 116: 102079 (2021) - [j78]Evangelia Kyrimi, Scott McLachlan, Kudakwashe Dube, Mariana R. Neves, Ali Fahmi, Norman E. Fenton:
A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future. Artif. Intell. Medicine 117: 102108 (2021) - [j77]Morghan Hartmann, Norman E. Fenton, Ruth Dobson:
Current review and next steps for artificial intelligence in multiple sclerosis risk research. Comput. Biol. Medicine 132: 104337 (2021) - [c31]Morghan Hartmann, Norman E. Fenton, Ruth Dobson:
Development of Bayesian Network for Multiple Sclerosis Risk Factor Interaction Analysis. CIBB 2021: 13-24 - [c30]Stephen H. Dewitt, Carmen Li, Daniel Koh, Norman E. Fenton, David A. Lagnado:
Categorical Belief Updating Under Uncertainty. CogSci 2021 - [i12]Anthony C. Constantinou, Norman E. Fenton, Martin Neil:
How do some Bayesian Network machine learned graphs compare to causal knowledge? CoRR abs/2101.10461 (2021) - [i11]Scott McLachlan, Martin Neil, Kudakwashe Dube, Ronny Bogani, Norman E. Fenton, Burkhard Schafer:
Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety. CoRR abs/2109.02956 (2021) - 2020
- [j76]Norman E. Fenton, Martin Neil, Anthony C. Constantinou:
The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie. Basic Books (2018). Artif. Intell. 284: 103286 (2020) - [j75]Scott McLachlan, Kudakwashe Dube, Graham A. Hitman, Norman E. Fenton, Evangelia Kyrimi:
Bayesian networks in healthcare: Distribution by medical condition. Artif. Intell. Medicine 107: 101912 (2020) - [j74]Jiali Wang, Martin Neil, Norman E. Fenton:
A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model. Comput. Secur. 89 (2020) - [j73]Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Graham A. Hitman, Jennifer A. Simmonds, Norman E. Fenton:
Towards standardisation of evidence-based clinical care process specifications. Health Informatics J. 26(4): 2512-2537 (2020) - [j72]Peng Lin, Martin Neil, Norman E. Fenton:
Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction. J. Artif. Intell. Res. 69: 231-295 (2020) - [j71]Evangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan, Martin Neil, William Marsh, Norman E. Fenton:
Medical idioms for clinical Bayesian network development. J. Biomed. Informatics 108: 103495 (2020) - [j70]Norman E. Fenton, Martin Neil, Barbaros Yet, David A. Lagnado:
Analyzing the Simonshaven Case Using Bayesian Networks. Top. Cogn. Sci. 12(4): 1092-1114 (2020) - [c29]Kudakwashe Dube, Scott McLachlan, Ngonidzashe Zanamwe, Evangelia Kyrimi, Jasmine S. Thomson, Norman E. Fenton:
Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies. GHTC 2020: 1-8 - [c28]Scott McLachlan, Haydn Paterson, Kudakwashe Dube, Evangelia Kyrimi, Eugene Dementiev, Martin Neil, Bridget J. Daley, Graham A. Hitman, Norman E. Fenton:
Real-time Online Probabilistic Medical Computation using Bayesian Networks. ICHI 2020: 1-8 - [c27]Scott McLachlan, Evangelia Kyrimi, Bridget J. Daley, Kudakwashe Dube, Max Marsden, Sarah Finer, Graham A. Hitman, Norman E. Fenton:
Incorporating Clinical Decisions into Standardised Caremaps. ICHI 2020: 1-2 - [c26]Bridget J. Daley, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Graham A. Hitman, Scott McLachlan:
Data Visualisation in Midwifery: The Challenge of Seeing what Datasets Hide. MIE 2020: 1239-1240 - [i10]Scott McLachlan, Kudakwashe Dube, Graham A. Hitman, Norman E. Fenton, Evangelia Kyrimi:
Bayesian Networks in Healthcare: Distribution by Medical Condition. CoRR abs/2002.00224 (2020) - [i9]Scott McLachlan, Evangelia Kyrimi, Norman E. Fenton:
Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden. CoRR abs/2002.05664 (2020) - [i8]Evangelia Kyrimi, Scott McLachlan, Kudakwashe Dube, Mariana R. Neves, Ali Fahmi, Norman E. Fenton:
A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future. CoRR abs/2002.08627 (2020) - [i7]Scott McLachlan, Peter Lucas, Kudakwashe Dube, Graham A. Hitman, Magda Osman, Evangelia Kyrimi, Martin Neil, Norman E. Fenton:
Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing? CoRR abs/2005.06621 (2020) - [i6]Evangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan, Martin Neil, William Marsh, Norman E. Fenton:
Medical idioms for clinical Bayesian network development. CoRR abs/2007.00364 (2020) - [i5]Norman E. Fenton, Martin Neil, Steven Frazier:
The role of collider bias in understanding statistics on racially biased policing. CoRR abs/2007.08406 (2020) - [i4]Joshua Hunte, Martin Neil, Norman E. Fenton:
Product risk assessment: a Bayesian network approach. CoRR abs/2010.06698 (2020) - [i3]Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Lisa C. Webley:
Lawmaps: Enabling Legal AI development through Visualisation of the Implicit Structure of Legislation and Lawyerly Process. CoRR abs/2011.00586 (2020)
2010 – 2019
- 2019
- [j69]Martin Neil, Norman E. Fenton, David A. Lagnado, Richard David Gill:
Modelling competing legal arguments using Bayesian model comparison and averaging. Artif. Intell. Law 27(4): 403-430 (2019) - [j68]Takao Noguchi, Norman E. Fenton, Martin Neil:
Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes. IEEE Trans. Knowl. Data Eng. 31(4): 813-817 (2019) - [j67]Norman E. Fenton, Takao Noguchi, Martin Neil:
An Extension to the Noisy-OR Function to Resolve the 'Explaining Away' Deficiency for Practical Bayesian Network Problems. IEEE Trans. Knowl. Data Eng. 31(12): 2441-2445 (2019) - [c25]Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton:
Clinical Caremap Development: How Can Caremaps Standardise Care When They Are Not Standardised? HEALTHINF 2019: 123-134 - [c24]Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton:
Standardising Clinical Caremaps: Model, Method and Graphical Notation for Caremap Specification. BIOSTEC (Selected Papers) 2019: 429-452 - [c23]Stephen H. Dewitt, Anne Hsu, David A. Lagnado, Saoirse Connor Desai, Norman E. Fenton:
Nested Sets and Natural Frequencies. CogSci 2019: 1633-1639 - [i2]Norman E. Fenton, Martin Neil, Anthony C. Constantinou:
Simpson's Paradox and the implications for medical trials. CoRR abs/1912.01422 (2019) - 2018
- [j66]Barbaros Yet, Anthony C. Constantinou, Norman E. Fenton, Martin Neil:
Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization. IEEE Access 6: 7802-7817 (2018) - [j65]Barbaros Yet, Martin Neil, Norman E. Fenton, Anthony C. Constantinou, Eugene Dementiev:
An improved method for solving Hybrid Influence Diagrams. Int. J. Approx. Reason. 95: 93-112 (2018) - [c22]Scott McLachlan, Kudakwashe Dube, Thomas Gallagher, Jennifer A. Simmonds, Norman E. Fenton:
Realistic Synthetic Data Generation: The ATEN Framework. BIOSTEC (Selected Papers) 2018: 497-523 - [c21]Stephen H. Dewitt, David A. Lagnado, Norman E. Fenton:
Updating Prior Beliefs Based on Ambiguous Evidence. CogSci 2018 - 2017
- [j64]Anthony C. Constantinou, Norman E. Fenton:
Towards smart-data: Improving predictive accuracy in long-term football team performance. Knowl. Based Syst. 124: 93-104 (2017) - [c20]Norman E. Fenton, David A. Lagnado, Christian Dahlman, Martin Neil:
The opportunity prior: a simple and practical solution to the prior probability problem for legal cases. ICAIL 2017: 69-76 - 2016
- [j63]Anthony Costa Constantinou, Barbaros Yet, Norman E. Fenton, Martin Neil, William Marsh:
Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences. Artif. Intell. Medicine 66: 41-52 (2016) - [j62]Anthony Costa Constantinou, Norman E. Fenton, William Marsh, Lukasz Radlinski:
From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support. Artif. Intell. Medicine 67: 75-93 (2016) - [j61]Yun Zhou, Norman E. Fenton, Cheng Zhu:
An empirical study of Bayesian network parameter learning with monotonic influence constraints. Decis. Support Syst. 87: 69-79 (2016) - [j60]Yun Zhou, Timothy M. Hospedales, Norman E. Fenton:
When and where to transfer for Bayesian network parameter learning. Expert Syst. Appl. 55: 361-373 (2016) - [j59]Anthony Costa Constantinou, Norman E. Fenton, Martin Neil:
Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved. Expert Syst. Appl. 56: 197-208 (2016) - [j58]Barbaros Yet, Anthony C. Constantinou, Norman E. Fenton, Martin Neil, Eike Luedeling, Keith D. Shepherd:
A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study. Expert Syst. Appl. 60: 141-155 (2016) - [j57]Norman E. Fenton, Martin Neil, David A. Lagnado, William Marsh, Barbaros Yet, Anthony C. Constantinou:
How to model mutually exclusive events based on independent causal pathways in Bayesian network models. Knowl. Based Syst. 113: 39-50 (2016) - [c19]Eugene Dementiev, Norman E. Fenton:
Bayesian Torrent Classification by File Name and Size Only. Probabilistic Graphical Models 2016: 136-146 - [c18]Anthony C. Constantinou, Norman E. Fenton:
Improving Predictive Accuracy Using Smart-Data rather than Big-Data: A Case Study of Soccer Teams' Evolving Performance. BMA@UAI 2016: 54-55 - [i1]Peng Lin, Martin Neil, Norman E. Fenton:
Region Based Approximation for High Dimensional Bayesian Network Models. CoRR abs/1602.02086 (2016) - 2015
- [j56]Anthony C. Constantinou, Mark Freestone, William Marsh, Norman E. Fenton, Jeremy Coid:
Risk assessment and risk management of violent reoffending among prisoners. Expert Syst. Appl. 42(21): 7511-7529 (2015) - [c17]Hana Chockler, Norman E. Fenton, Jeroen Keppens, David A. Lagnado:
Causal analysis for attributing responsibility in legal cases. ICAIL 2015: 33-42 - [c16]Yun Zhou, Norman E. Fenton, Timothy M. Hospedales, Martin Neil:
Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. UAI 2015: 972-981 - 2014
- [j55]Norman E. Fenton, Martin Neil, Anne Hsu:
Calculating and understanding the value of any type of match evidence when there are potential testing errors. Artif. Intell. Law 22(1): 1-28 (2014) - [j54]Yun Zhou, Norman E. Fenton, Martin Neil:
Bayesian network approach to multinomial parameter learning using data and expert judgments. Int. J. Approx. Reason. 55(5): 1252-1268 (2014) - [j53]Barbaros Yet, Zane Perkins, Norman E. Fenton, Nigel Tai, William Marsh:
Not just data: A method for improving prediction with knowledge. J. Biomed. Informatics 48: 28-37 (2014) - [j52]Norman E. Fenton, Martin Neil:
Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks. IEEE Softw. 31(2): 21-26 (2014) - [c15]Yun Zhou, Norman E. Fenton, Martin Neil:
An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints. Probabilistic Graphical Models 2014: 581-596 - 2013
- [j51]David A. Lagnado, Norman E. Fenton, Martin Neil:
Legal idioms: a framework for evidential reasoning. Argument Comput. 4(1): 46-63 (2013) - [j50]Norman E. Fenton, Martin Neil, David A. Lagnado:
A General Structure for Legal Arguments About Evidence Using Bayesian Networks. Cogn. Sci. 37(1): 61-102 (2013) - [j49]Anthony C. Constantinou, Norman E. Fenton, Martin Neil:
Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks. Knowl. Based Syst. 50: 60-86 (2013) - [c14]Yun Zhou, Norman E. Fenton, Martin Neil, Cheng Zhu:
Incorporating Expert Judgement into Bayesian Network Machine Learning. IJCAI 2013: 3249-3250 - [c13]Barbaros Yet, William Marsh, Zane Perkins, Nigel Tai, Norman E. Fenton:
Predicting Latent Variables with Knowledge and Data: A Case Study in Trauma Care. UAI Application Workshops 2013: 49 - 2012
- [j48]Anthony C. Constantinou, Norman E. Fenton, Martin Neil:
pi-football: A Bayesian network model for forecasting Association Football match outcomes. Knowl. Based Syst. 36: 322-339 (2012) - [j47]Martin Neil, Xiaoli Chen, Norman E. Fenton:
Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks Using Binary Factorization. IEEE Trans. Knowl. Data Eng. 24(7): 1306-1312 (2012) - 2010
- [j46]Norman E. Fenton, Martin Neil:
Comparing risks of alternative medical diagnosis using Bayesian arguments. J. Biomed. Informatics 43(4): 485-495 (2010) - [j45]David Marquez, Martin Neil, Norman E. Fenton:
Improved reliability modeling using Bayesian networks and dynamic discretization. Reliab. Eng. Syst. Saf. 95(4): 412-425 (2010)
2000 – 2009
- 2009
- [j44]Peter Stewart Hearty, Norman E. Fenton, David Marquez, Martin Neil:
Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model. IEEE Trans. Software Eng. 35(1): 124-137 (2009) - 2008
- [j43]Norman E. Fenton, Martin Neil, William Marsh, Peter Stewart Hearty, Lukasz Radlinski, Paul Krause:
On the effectiveness of early life cycle defect prediction with Bayesian Nets. Empir. Softw. Eng. 13(5): 499-537 (2008) - [j42]Martin Neil, Manesh Tailor, David Marquez, Norman E. Fenton, Peter Stewart Hearty:
Modelling dependable systems using hybrid Bayesian networks. Reliab. Eng. Syst. Saf. 93(7): 933-939 (2008) - 2007
- [j41]Norman E. Fenton, Martin Neil, William Marsh, Peter Stewart Hearty, David Marquez, Paul Krause, Rajat Mishra:
Predicting software defects in varying development lifecycles using Bayesian nets. Inf. Softw. Technol. 49(1): 32-43 (2007) - [j40]Norman E. Fenton, Martin Neil, Jose Galan Caballero:
Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks. IEEE Trans. Knowl. Data Eng. 19(10): 1420-1432 (2007) - [c12]Norman E. Fenton, Martin Neil, William Marsh, Peter Stewart Hearty, Lukasz Radlinski, Paul Krause:
Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction. PROMISE@ICSE 2007: 2 - 2006
- [j39]Norman E. Fenton, Wei Wang:
Risk and confidence analysis for fuzzy multicriteria decision making. Knowl. Based Syst. 19(6): 430-437 (2006) - [j38]Anito Joseph, Norman E. Fenton, Martin Neil:
Predicting football results using Bayesian nets and other machine learning techniques. Knowl. Based Syst. 19(7): 544-553 (2006) - [c11]Martin Neil, Manesh Tailor, Norman E. Fenton, David Marquez, Peter Stewart Hearty:
Modeling Dependable Systems using Hybrid Bayesian Networks. ARES 2006: 817-823 - [c10]Norman E. Fenton, Lukasz Radlinski, Martin Neil:
Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic Discretisation. SET 2006: 139-148 - 2005
- [c9]Peter Stewart Hearty, Norman E. Fenton, Martin Neil, Patrick Cates:
Automated population of causal models for improved software risk assessment. ASE 2005: 433-434 - 2004
- [c8]Norman E. Fenton, William Marsh, Martin Neil, Patrick Cates, Simon Forey, Manesh Tailor:
Making Resource Decisions for Software Projects. ICSE 2004: 397-406 - 2002
- [j37]Norman E. Fenton, Paul Krause, Martin Neil:
Probability modelling for software quality control. J. Appl. Non Class. Logics 12(2): 173-188 (2002) - [j36]Norman E. Fenton, Paul Krause, Martin Neil:
Software Measurement: Uncertainty and Causal Modeling. IEEE Softw. 19(4): 116-122 (2002) - 2001
- [j35]Norman E. Fenton:
Viewpoint Article: Conducting and Presenting Empirical Software Engineering. Empir. Softw. Eng. 6(3): 195-200 (2001) - [j34]Norman E. Fenton, Martin Neil:
Making decisions: using Bayesian nets and MCDA. Knowl. Based Syst. 14(7): 307-325 (2001) - [c7]Norman E. Fenton, Paul Krause, Martin Neil:
Probabilistic Modelling for Software Quality Control. ECSQARU 2001: 444-453 - 2000
- [j33]Norman E. Fenton, Niclas Ohlsson:
Quantitative Analysis of Faults and Failures in a Complex Software System. IEEE Trans. Software Eng. 26(8): 797-814 (2000) - [c6]Norman E. Fenton, Martin Neil:
Software metrics: roadmap. ICSE - Future of SE Track 2000: 357-370
1990 – 1999
- 1999
- [j32]Kate Finney, Norman E. Fenton, Alexander M. Fedorec:
Effects of structure on the comprehensivility of formal specifications. IEE Proc. Softw. 146(4): 193-202 (1999) - [j31]Norman E. Fenton, Martin Neil:
Software metrics: successes, failures and new directions. J. Syst. Softw. 47(2-3): 149-157 (1999) - [j30]Norman E. Fenton, Martin Neil:
A Critique of Software Defect Prediction Models. IEEE Trans. Software Eng. 25(5): 675-689 (1999) - 1998
- [j29]Norman E. Fenton, Bev Littlewood, Martin Neil, Lorenzo Strigini, Alistair G. Sutcliffe, David Wright:
Assesing dependability of safety critical systems using diverse evidence. IEE Proc. Softw. 145(1): 35-39 (1998) - [j28]Norman E. Fenton, Martin Neil:
A Strategy for Improving Safety Related Software Engineering Standards. IEEE Trans. Software Eng. 24(11): 1002-1013 (1998) - 1997
- [j27]Tracy Hall, Norman E. Fenton:
Implementing Effective Software Metrics Programs. IEEE Softw. 14(2): 55-65 (1997) - [j26]Barbara A. Kitchenham, Shari Lawrence Pfleeger, Norman E. Fenton:
Reply to: Comments on "Toward a Framework for Software Measurement Validation". IEEE Trans. Software Eng. 23(3): 189 (1997) - 1996
- [b2]Norman E. Fenton, Shari Lawrence Pfleeger:
Software metrics - a practical and rigorous approach (2. ed.). International Thomson 1996, ISBN 978-1-85032-275-7, pp. I-XII, 1-638 - [j25]Kate Finney, Norman E. Fenton:
Evaluating the Effectiveness of Z: The Claims Made About CICS and Where We Go From Here. J. Syst. Softw. 35(3): 209-216 (1996) - [j24]Norman F. Schneidewind, Norman E. Fenton:
Point-Counterpoint: Do Standards Improve Quality? IEEE Softw. 13(1): 22 (1996) - [j23]Tracy Hall, Norman E. Fenton:
Software quality programmes: a snapshot of theory versus reality. Softw. Qual. J. 5(4): 235-242 (1996) - [c5]Martin Neil, Bev Littlewood, Norman E. Fenton:
Applying Bayesian Belief Networks to System Dependability Assessment. SSS 1996: 71-94 - 1995
- [j22]Barbara A. Kitchenham, Shari Lawrence Pfleeger, Norman E. Fenton:
Towards a Framework for Software Measurement Validation. IEEE Trans. Software Eng. 21(12): 929-943 (1995) - 1994
- [j21]Shari Lawrence Pfleeger, Norman E. Fenton, Stella Page:
Evaluating Software Engineering Standards. Computer 27(9): 71-79 (1994) - [j20]