Martin J. Shepperd

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 37

Top Venues

CoRR

EASE

Inf. Softw. Technol.

IEEE Trans. Software Eng.

Open University, Milton Keynes, UK (PHD)

Education History

Open University, Milton Keynes, UK

PHD

Publications

Yuchen Guo, Martin J. Shepperd, Ning Li
Improving classifier-based effort-aware software defect prediction by reducing ranking errors. CoRR (2024)
Yuchen Guo, Martin J. Shepperd, Ning Li
Improving classifier-based effort-aware software defect prediction by reducing ranking errors. EASE (2024)
Martin J. Shepperd, Fernando Brito e Abreu, Ricardo Pérez-Castillo
Special issue on information systems quality management in practice. Softw. Qual. J. 30 (2) (2022)
Robert D. Macredie, Martin J. Shepperd, Tommaso Turchi, Terry Young
Exploring Student Engagement and Outcomes: Experiences from Three Cycles of an Undergraduate Module. CoRR (2022)
Martin J. Shepperd, Leila Yousefi
An analysis of retracted papers in Computer Science. CoRR (2022)
Lucas Gren, Martin J. Shepperd
Problem reports and team maturity in agile automotive software development. CHASE@ICSE (2022)
Lucas Gren, Martin J. Shepperd
Problem reports and team maturity in agile automotive software development. CoRR (2022)
Jingxiu Yao, Martin J. Shepperd
The impact of using biased performance metrics on software defect prediction research. CoRR (2021)
Jingxiu Yao, Martin J. Shepperd
The impact of using biased performance metrics on software defect prediction research. Inf. Softw. Technol. 139 (2021)
Martin J. Shepperd, Stephen G. MacDonell
Evaluating prediction systems in software project estimation. CoRR (2021)
Neil Walkinshaw, Martin J. Shepperd
Reasoning about Uncertainty in Empirical Results. EASE (2020)
Jingxiu Yao, Martin J. Shepperd
Assessing Software Defection Prediction Performance: Why Using the Matthews Correlation Coefficient Matters. CoRR (2020)
Andrea Capiluppi, Nemitari Ajienka, Nour Ali, Mahir Arzoky, Steve Counsell, Giuseppe Destefanis, Alina Dana Miron, Bhaveet Nagaria, Rumyana Neykova, Martin J. Shepperd, Stephen Swift, Allan Tucker
Using the Lexicon from Source Code to Determine Application Domain. EASE (2020)
Ning Li, Martin J. Shepperd, Yuchen Guo
A systematic review of unsupervised learning techniques for software defect prediction. Inf. Softw. Technol. 122 (2020)
Jingxiu Yao, Martin J. Shepperd
Assessing software defection prediction performance: why using the Matthews correlation coefficient matters. EASE (2020)
Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi
The Prevalence of Errors in Machine Learning Experiments. CoRR (2019)
Ning Li, Martin J. Shepperd, Yuchen Guo
A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction. CoRR (2019)
Qinbao Song, Yuchen Guo, Martin J. Shepperd
A Comprehensive Investigation of the Role of Imbalanced Learning for Software Defect Prediction. IEEE Trans. Software Eng. 45 (12) (2019)
Tim Menzies, Martin J. Shepperd
"Bad smells" in software analytics papers. Inf. Softw. Technol. 112 (2019)
Yani Xue, Miqing Li, Martin J. Shepperd, Stasha Lauria, Xiaohui Liu
A novel aggregation-based dominance for Pareto-based evolutionary algorithms to configure software product lines. Neurocomputing 364 (2019)
Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi
The Prevalence of Errors in Machine Learning Experiments. IDEAL (1) (2019)
Martin J. Shepperd, Carolyn Mair, Magne Jørgensen
An Experimental Evaluation of a De-biasing Intervention for Professional Software Developers. CoRR (2018)
Rahul Krishna, Suvodeep Majumder, Tim Menzies, Martin J. Shepperd
Bad Smells in Software Analytics Papers. CoRR (2018)
Martin J. Shepperd, Nemitari Ajienka, Steve Counsell
The role and value of replication in empirical software engineering results. Inf. Softw. Technol. 99 (2018)
Martin J. Shepperd
Replication studies considered harmful. ICSE (NIER) (2018)
Robert Feldt, Thomas Zimmermann, Gunnar R. Bergersen, Davide Falessi, Andreas Jedlitschka, Natalia Juristo, Jürgen Münch, Markku Oivo, Per Runeson, Martin J. Shepperd, Dag I. K. Sjøberg, Burak Turhan
Four commentaries on the use of students and professionals in empirical software engineering experiments. Empir. Softw. Eng. 23 (6) (2018)
Martin J. Shepperd, Carolyn Mair, Magne Jørgensen
An experimental evaluation of a de-biasing intervention for professional software developers. SAC (2018)
Martin J. Shepperd, Tracy Hall, David Bowes
Authors' Reply to "Comments on 'Researcher Bias: The Use of Machine Learning in Software Defect Prediction'". IEEE Trans. Software Eng. 44 (11) (2018)
Yuchen Guo, Martin J. Shepperd, Ning Li
Bridging effort-aware prediction and strong classification: a just-in-time software defect prediction study. ICSE (Companion Volume) (2018)
Martin J. Shepperd
Replication studies considered harmful. CoRR (2018)
Martin J. Shepperd
Inferencing into the void: problems with implicit populations Comments on 'Empirical software engineering experts on the use of students and professionals in experiments'. CoRR (2018)
Davide Fucci, Giuseppe Scanniello, Simone Romano, Martin J. Shepperd, Boyce Sigweni, Fernando Uyaguari Uyaguari, Burak Turhan, Natalia Juristo, Markku Oivo
An External Replication on the Effects of Test-driven Development Using a Multi-site Blind Analysis Approach. ESEM (2016)
Gernot Armin Liebchen, Martin J. Shepperd
Data Sets and Data Quality in Software Engineering: Eight Years On. PROMISE (2016)
Boyce Sigweni, Martin J. Shepperd, Tommaso Turchi
Realistic assessment of software effort estimation models. EASE (2016)
Martin J. Shepperd
How Do I Know Whether to Trust a Research Result? IEEE Softw. 32 (1) (2015)
Boyce Sigweni, Martin J. Shepperd
Using blind analysis for software engineering experiments. EASE (2015)
Michael James Scott, Steve Counsell, Stanislao Lauria, Stephen Swift, Allan Tucker, Martin J. Shepperd, Gheorghita Ghinea
Enhancing Practice and Achievement in Introductory Programming With a Robot Olympics. IEEE Trans. Educ. 58 (4) (2015)
Boyce Sigweni, Martin J. Shepperd
Feature weighting techniques for CBR in software effort estimation studies: a review and empirical evaluation. PROMISE (2014)
Martin J. Shepperd, David Bowes, Tracy Hall
Researcher Bias: The Use of Machine Learning in Software Defect Prediction. IEEE Trans. Software Eng. 40 (6) (2014)
Eisha Hasnain, Tracy Hall, Martin J. Shepperd
Using experimental games to understand communication and trust in Agile software teams. CHASE@ICSE (2013)
Ahmed E. Hassan, Abram Hindle, Per Runeson, Martin J. Shepperd, Premkumar T. Devanbu, Sunghun Kim
Roundtable: What's Next in Software Analytics. IEEE Softw. 30 (4) (2013)
Martin J. Shepperd, Forrest Shull
Guest Editorial for Special Section from Empirical Software Engineering & Measurement (ESEM) 2011. Inf. Softw. Technol. 55 (7) (2013)
Martin J. Shepperd, Qinbao Song, Zhongbin Sun, Carolyn Mair
Data Quality: Some Comments on the NASA Software Defect Datasets. IEEE Trans. Software Eng. 39 (9) (2013)
Martin J. Shepperd, Stephen G. MacDonell
Evaluating prediction systems in software project estimation. Inf. Softw. Technol. 54 (8) (2012)
Tim Menzies, Martin J. Shepperd
Special issue on repeatable results in software engineering prediction. Empir. Softw. Eng. 17 (1-2) (2012)
Martin J. Shepperd
The scientific basis for prediction research. PROMISE (2012)
Carolyn Mair, Miriam Martincova, Martin J. Shepperd
An Empirical Study of Software Project Managers Using a Case-Based Reasoner. HICSS (2012)
Carolyn Mair, Martin J. Shepperd
Human judgement and software metrics: vision for the future. WETSoM (2011)
Martin J. Shepperd
Data quality: cinderella at the software metrics ball? WETSoM (2011)
Qinbao Song, Zihan Jia, Martin J. Shepperd, Shi Ying, Jin Liu
A General Software Defect-Proneness Prediction Framework. IEEE Trans. Software Eng. 37 (3) (2011)
Martin J. Shepperd
Group project work from the outset: An in-depth teaching experience report. CSEE&T (2011)
Martin J. Shepperd
Combining Evidence and Meta-analysis in Software Engineering. ISSSE (2011)
Qinbao Song, Martin J. Shepperd
Predicting software project effort: A grey relational analysis based method. Expert Syst. Appl. 38 (6) (2011)
Emal Nasseri, Steve Counsell, Martin J. Shepperd
Class movement and re-location: An empirical study of Java inheritance evolution. J. Syst. Softw. 83 (2) (2010)
Stephen G. MacDonell, Martin J. Shepperd, Barbara A. Kitchenham, Emilia Mendes
How Reliable Are Systematic Reviews in Empirical Software Engineering? IEEE Trans. Software Eng. 36 (5) (2010)
Stephen G. MacDonell, Martin J. Shepperd
Data accumulation and software effort prediction. ESEM (2010)
Ambikesh Jayal, Martin J. Shepperd
The Problem of Labels in E-Assessment of Diagrams. ACM J. Educ. Resour. Comput. 8 (4) (2009)
Yong Wang, Qinbao Song, Stephen G. MacDonell, Martin J. Shepperd, Junyi Shen
Integrate the GM(1, 1) and Verhulst Models to Predict Software Stage Effort. IEEE Trans. Syst. Man Cybern. Part C 39 (6) (2009)
Carolyn Mair, Miriam Martincova, Martin J. Shepperd
A Literature Review of Expert Problem Solving using Analogy. EASE (2009)
Gernot Armin Liebchen, Martin J. Shepperd
Data sets and data quality in software engineering. PROMISE@ICSE (2008)
Qinbao Song, Martin J. Shepperd, Xiangru Chen, Jun Liu
Can k-NN imputation improve the performance of C4.5 with small software project data sets? A comparative evaluation. J. Syst. Softw. 81 (12) (2008)
Emal Nasseri, Steve Counsell, Martin J. Shepperd
An Empirical Study of Evolution of Inheritance in Java OSS. Australian Software Engineering Conference (2008)
Stephen G. MacDonell, Martin J. Shepperd
Comparing Local and Global Software Effort Estimation Models - Reflections on a Systematic Review. ESEM (2007)
Gernot Armin Liebchen, Bhekisipho Twala, Martin J. Shepperd, Michelle Cartwright, Mark Stephens
Filtering, Robust Filtering, Polishing: Techniques for Addressing Quality in Software Data. ESEM (2007)
Qinbao Song, Martin J. Shepperd
A new imputation method for small software project data sets. J. Syst. Softw. 80 (1) (2007)
Claes Wohlin, Sebastian G. Elbaum, Martin J. Shepperd
Most cited journal articles in software engineering. Inf. Softw. Technol. 49 (1) (2007)
Qinbao Song, Martin J. Shepperd
Missing Data Imputation Techniques. Int. J. Bus. Intell. Data Min. 2 (3) (2007)
Magne Jørgensen, Martin J. Shepperd
A Systematic Review of Software Development Cost Estimation Studies. IEEE Trans. Software Eng. 33 (1) (2007)
Martin J. Shepperd
Software project economics: a roadmap. FOSE (2007)
Carolyn Mair, Martin J. Shepperd
Looking at Comparisons of Regression and Analogy-based Software Project Cost Prediction. Software Engineering Research and Practice (2006)
Bhekisipho Twala, Michelle Cartwright, Martin J. Shepperd
Ensemble of missing data techniques to improve software prediction accuracy. ICSE (2006)
Qinbao Song, Martin J. Shepperd
Mining web browsing patterns for E-commerce. Comput. Ind. 57 (7) (2006)
Qinbao Song, Martin J. Shepperd, Michelle Cartwright, Carolyn Mair
Software Defect Association Mining and Defect Correction Effort Prediction. IEEE Trans. Software Eng. 32 (2) (2006)
Gernot Armin Liebchen, Martin J. Shepperd, Bheki Twala, Michelle Cartwright
Assessing the Quality and Cleaning of a Software Project Data Set: An Experience Report. EASE (2006)
Carolyn Mair, Martin J. Shepperd, Magne Jørgensen
An analysis of data sets used to train and validate cost prediction systems. ACM SIGSOFT Softw. Eng. Notes 30 (4) (2005)
Carolyn Mair, Martin J. Shepperd, Magne Jørgensen
An analysis of data sets used to train and validate cost prediction systems. PROMISE@ICSE (2005)
Qinbao Song, Martin J. Shepperd, Michelle Cartwright
A Short Note on Safest Default Missingness Mechanism Assumptions. Empir. Softw. Eng. 10 (2) (2005)
Qinbao Song, Martin J. Shepperd, Carolyn Mair
Using Grey Relational Analysis to Predict Software Effort with Small Data Sets. IEEE METRICS (2005)
Bhekisipho Twala, Michelle Cartwright, Martin J. Shepperd
Comparison of various methods for handling incomplete data in software engineering databases. ISESE (2005)
Gernot Armin Liebchen, Martin J. Shepperd
Software Productivity Analysis of a Large Data Set and Issues of Confidentiality and Data Quality. IEEE METRICS (2005)
Carolyn Mair, Martin J. Shepperd
The consistency of empirical comparisons of regression and analogy-based software project cost prediction. ISESE (2005)
Martin J. Shepperd
Evaluating Software Project Prediction Systems. IEEE METRICS (2005)
Rahul Premraj, Martin J. Shepperd, Barbara A. Kitchenham, Pekka Forselius
An Empirical Analysis of Software Productivity over Time. IEEE METRICS (2005)
Ingunn Myrtveit, Erik Stensrud, Martin J. Shepperd
Reliability and Validity in Comparative Studies of Software Prediction Models. IEEE Trans. Software Eng. 31 (5) (2005)
Martin J. Shepperd, Michelle Cartwright
A Replication of the Use of Regression towards the Mean (R2M) as an Adjustment to Effort Estimation Models. IEEE METRICS (2005)
John K. Hart, Martin J. Shepperd
The Evolution of Concurrent Control Software Using Genetic Programming. EuroGP (2004)
Ignatios S. Deligiannis, Ioannis Stamelos, Lefteris Angelis, Manos Roumeliotis, Martin J. Shepperd
A controlled experiment investigation of an object-oriented design heuristic for maintainability. J. Syst. Softw. 72 (2) (2004)
Stephen G. MacDonell, Martin J. Shepperd
Using Prior-Phase Effort Records for Re-estimation During Software Projects. IEEE METRICS (2003)
Ignatios S. Deligiannis, Martin J. Shepperd, Manos Roumeliotis, Ioannis Stamelos
An empirical investigation of an object-oriented design heuristic for maintainability. J. Syst. Softw. 65 (2) (2003)
Michelle Cartwright, Martin J. Shepperd, Qinbao Song
Dealing with Missing Software Project Data. IEEE METRICS (2003)
John A. Clark, José Javier Dolado, Mark Harman, Robert M. Hierons, Bryan F. Jones, M. Lumkin, Brian S. Mitchell, Spiros Mancoridis, K. Rees, Marc Roper, Martin J. Shepperd
Formulating software engineering as a search problem. IEE Proc. Softw. 150 (3) (2003)
Martin Lefley, Martin J. Shepperd
Using Genetic Programming to Improve Software Effort Estimation Based on General Data Sets. GECCO (2003)
Ursula Passing, Martin J. Shepperd
An experiment on software project size and effort estimation. ISESE (2003)
Colin Kirsopp, Emilia Mendes, Rahul Premraj, Martin J. Shepperd
An Empirical Analysis of Linear Adaptation Techniques for Case-Based Prediction. ICCBR (2003)
Stephen G. MacDonell, Martin J. Shepperd
Combining techniques to optimize effort predictions in software project management. J. Syst. Softw. 66 (2) (2003)
John K. Hart, Martin J. Shepperd
Evolving Software with Multiple Outputs and Multiple Populations. GECCO Late Breaking Papers (2002)
Ignatios S. Deligiannis, Martin J. Shepperd, Steve Webster, Manos Roumeliotis
A Review of Experimental Investigations into Object-Oriented Technology. Empir. Softw. Eng. 7 (3) (2002)
Colin Kirsopp, Martin J. Shepperd, John K. Hart
Search Heuristics, Case-based Reasoning And Software Project Effort Prediction. GECCO (2002)
Michael Dyer, Martin J. Shepperd, Claes Wohlin
Editorial. Inf. Softw. Technol. 44 (2) (2002)
Colin Kirsopp, Martin J. Shepperd
Making inferences with small numbers of training sets. IEE Proc. Softw. 149 (5) (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Martin J. Shepperd