Martin Shepperd

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Carolyn MairProfessor of Psychology for FashionVerified email at psychology.fashion
Stephen G. MacDonellProfessor at Victoria University of Wellington, NZVerified email at acm.org
Barbara Ann KitchenhamProfessor of Quantitative Software Engineering, Keele UniversityVerified email at keele.ac.uk
Professor Keith PhalpPro Vice-Chancellor, Bournemouth UniversityVerified email at bournemouth.ac.uk
Magne JørgensenSimula Research Laboratory, SimulaMet, Oslo Metropolitan University, Kathmandu UniversityVerified email at simula.no
Tracy HallProfessor of Software Engineering, Lancaster UniversityVerified email at lancaster.ac.uk
Steve CounsellProfessor, Brunel UniversityVerified email at brunel.ac.uk
Gernot Armin LiebchenBournemouth UniversityVerified email at bournemouth.ac.uk
Bhekisipho TwalaTshwane University of TechnologyVerified email at tut.ac.za
Ignatios DeligiannisProfessor, International Hellenic UniversityVerified email at it.teithe.gr
David BowesSenior Lecturer, School of Computing & Communications, Lancaster UniversityVerified email at lancaster.ac.uk
Marc RoperMobiquitousLab, Computer and Information Sciences, University of Strathclyde, Glasgow, Scotland UKVerified email at cis.strath.ac.uk
Mark HarmanResearch Scientist at Meta & Professor of Software Engineering at UCLVerified email at ucl.ac.uk
Boyce SigweniComputer Science, Brunel UniversityVerified email at brunel.ac.uk
Dr Ambikesh JayalSchool of Information Systems and Technology, University of Canberra, AustraliaVerified email at canberra.edu.au
Tim MenziesNorth Carolina State University, Computer Science, IEEE Fellow, ASE FellowVerified email at ncsu.edu
Neville ChurcherUniversity of CanterburyVerified email at canterbury.ac.nz
Erik StensrudDNV ResearchVerified email at online.no
Ingunn MyrtveitNorwegian Business SchoolVerified email at bi.no

Martin Shepperd

Professor of Software Technology & Modelling, Brunel University London

Verified email at brunel.ac.uk - Homepage

software engineering machine learning empirical software engineering empirical studies.


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Estimating software project effort using analogies M Shepperd, C Schofield IEEE Transactions on software engineering 23 (11), 736-743, 1997	1419	1997
A systematic review of software development cost estimation studies M Jorgensen, M Shepperd IEEE Transactions on software engineering 33 (1), 33-53, 2006	1309	2006
Data quality: Some comments on the NASA software defect datasets M Shepperd, Q Song, Z Sun, C Mair IEEE Transactions on Software Engineering 39 (9), 1208-1215, 2013	611	2013
What accuracy statistics really measure BA Kitchenham, LM Pickard, SG MacDonell, MJ Shepperd IEE Proceedings-Software 148 (3), 81-85, 2001	602	2001
A general software defect-proneness prediction framework Q Song, Z Jia, M Shepperd, S Ying, J Liu IEEE transactions on software engineering 37 (3), 356-370, 2010	501	2010
Evaluating prediction systems in software project estimation M Shepperd, S MacDonell Information and Software Technology 54 (8), 820-827, 2012	454	2012
Researcher bias: The use of machine learning in software defect prediction M Shepperd, D Bowes, T Hall IEEE Transactions on Software Engineering 40 (6), 603-616, 2014	451	2014
Effort estimation using analogy M Shepperd, C Schofield, B Kitchenham Proceedings of IEEE 18th International Conference on Software Engineering …, 1996	436	1996
Reformulating software engineering as a search problem J Clarke, JJ Dolado, M Harman, R Hierons, B Jones, M Lumkin, B Mitchell, ... IEE Proceedings-software 150 (3), 161-175, 2003	431	2003
Reliability and validity in comparative studies of software prediction models I Myrtveit, E Stensrud, M Shepperd IEEE Transactions on Software Engineering 31 (5), 380-391, 2005	367	2005
An empirical investigation of an object-oriented software system M Cartwright, M Shepperd IEEE Transactions on software engineering 26 (8), 786-796, 2000	355	2000
Comparing software prediction techniques using simulation M Shepperd, G Kadoda IEEE Transactions on Software Engineering 27 (11), 1014-1022, 2001	351	2001
A critique of cyclomatic complexity as a software metric M Shepperd Software Engineering Journal 3 (2), 30-36, 1988	345	1988
An investigation of machine learning based prediction systems C Mair, G Kadoda, M Lefley, K Phalp, C Schofield, M Shepperd, ... Journal of systems and software 53 (1), 23-29, 2000	319	2000
Software Defect Association Mining and Defect Correction Effort Prediction Q Song, M Shepperd, M Cartwright, C Mair IEEE Transactions on Software Engineering 32 (2), 69-82, 2006	296	2006
A Comprehensive Investigation of the Role of Imbalanced Learning for Software Defect Prediction Q Song, Y Guo, M Shepperd IEEE Transactions on Software Engineering, DOI: 10.1109/TSE.2018.2836442, 2018	266	2018
A systematic review of unsupervised learning techniques for software defect prediction N Li, M Shepperd, Y Guo Information and Software Technology, 2020	222	2020
Comments on "A metrics suite for object oriented design" NI Churcher, MJ Shepperd, S Chidamber, CF Kemerer IEEE Transactions on Software Engineering 21 (3), 263-265, 1995	212	1995
Foundations of software measurement M Shepperd Prentice Hall International (UK) Ltd., 1995	165	1995
A critique of three metrics M Shepperd, DC Ince Journal of systems and software 26 (3), 197-210, 1994	162	1994

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