Stephen G. MacDonell

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Andrew R GrayBiostatistics Centre, Division of Health Sciences, University of OtagoVerified email at otago.ac.nz
Sherlock A. LicorishSenior Lecturer, University of OtagoVerified email at otago.ac.nz
Martin ShepperdProfessor of Software Technology & Modelling, Brunel University LondonVerified email at brunel.ac.uk
Philip SallisProfessor in Computer Science, Auckland University of TechnologyVerified email at aut.ac.nz
Bill DoolinAuckland University of TechnologyVerified email at aut.ac.nz
Andy ConnorAssociate Professor, Creative Technologies, Auckland University of TechnologyVerified email at aut.ac.nz
Barbara Ann KitchenhamProfessor of Quantitative Software Engineering, Keele UniversityVerified email at keele.ac.uk
Diana KirkThe University of AucklandVerified email at acm.org
Michael Franklin BosuWaikato Instititute of TechnologyVerified email at wintec.ac.nz
Amjed TahirMassey UniversityVerified email at massey.ac.nz
Paolo TellUniversity of CopenhagenVerified email at itu.dk
Emilia MendesFull Professor, Blekinge Institute of Technology, SwedenVerified email at bth.se
Jil KlünderLeibniz Universität Hannover, GermanyVerified email at inf.uni-hannover.de
Jose´ Carlos MaldonadoICMC-USPVerified email at icmc.usp.br
Katia Romero FelizardoUTFPR-Cornélio ProcópioVerified email at utfpr.edu.br
Marco KuhrmannUniversity of PassauVerified email at acm.org
Prof. Nikola KasabovProfessor Auckland Univ. of Techn.; George Moore Chair Ulster. Univ. UK; Director Knowl.Eng.Cons.LtdVerified email at aut.ac.nz
Russel PearsAssociate Professor, Auckland University of TechnologyVerified email at aut.ac.nz
Efstathios StamatatosUniversity of the AegeanVerified email at aegean.gr
Regina HebigAssociate Professor, Chalmers | Gothenburg UniversityVerified email at acm.org

Stephen G. MacDonell

Professor at Auckland University of Technology and University of Otago, NZ

Verified email at acm.org - Homepage

Empirical Software Engineering Information Systems Development Software Analytics Evidence-Based Software Engineering


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What accuracy statistics really measure BA Kitchenham, LM Pickard, SG MacDonell, MJ Shepperd IEE Proceedings-Software 148 (3), 81-85, 2001	516	2001
Factors that affect software systems development project outcomes: A survey of research L McLeod, SG MacDonell ACM Computing Surveys (CSUR) 43 (4), 1-56, 2011	313	2011
Evaluating prediction systems in software project estimation M Shepperd, S MacDonell Information and Software Technology, 2012	304	2012
A comparison of techniques for developing predictive models of software metrics AR Gray, SG MacDonell Information and software technology 39 (6), 425-437, 1997	283	1997
A perspective-based understanding of project success L McLeod, B Doolin, SG MacDonell Project Management Journal 43 (5), 68-86, 2012	255	2012
Software forensics: extending authorship analysis techniques to computer programs SG MacDonell, D Buckingham, AR Gray, PJ Sallis JL & Inf. Sci. 13, 34, 2002	153*	2002
Factors systematically associated with errors in subjective estimates of software development effort: the stability of expert judgment AR Gray, SG MacDonell, MJ Shepperd Proceedings Sixth International Software Metrics Symposium (Cat. No. PR00403 …, 1999	137	1999
Combining techniques to optimize effort predictions in software project management SG MacDonell, MJ Shepperd Journal of Systems and Software 66 (2), 91-98, 2003	119	2003
How reliable are systematic reviews in empirical software engineering? S MacDonell, M Shepperd, B Kitchenham, E Mendes IEEE Transactions on Software Engineering 36 (5), 676-687, 2010	115	2010
Applications of fuzzy logic to software metric models for development effort estimation A Gray, S MacDonell 1997 Annual Meeting of the North American Fuzzy Information Processing …, 1997	110	1997
Source code authorship analysis for supporting the cybercrime investigation process G Frantzeskou, SG MacDonell, E Stamatatos Handbook of Research on Computational Forensics, Digital Crime, and …, 2010	78	2010
A comparison of modeling techniques for software development effort prediction SG MacDonell, AR Gray Springer-Verlag, 1998	75	1998
A baseline model for software effort estimation PA Whigham, CA Owen, SG Macdonell ACM Transactions on Software Engineering and Methodology (TOSEM) 24 (3), 1-11, 2015	70	2015
Software metrics data analysis—exploring the relative performance of some commonly used modeling techniques AR Gray, SG Macdonell Empirical Software Engineering 4 (4), 297-316, 1999	70	1999
Using visual text mining to support the study selection activity in systematic literature reviews KR Felizardo, N Salleh, RM Martins, E Mendes, SG MacDonell, ... 2011 International Symposium on Empirical Software Engineering and …, 2011	68	2011
Comparative review of functional complexity assessment methods for effort estimation SG MacDonell Software Engineering Journal 9 (3), 107-116, 1994	64	1994
Understanding the attitudes, knowledge sharing behaviors and task performance of core developers: A longitudinal study SA Licorish, SG MacDonell Information and Software Technology 56 (12), 1578-1596, 2014	63	2014
Understanding technology use in global virtual teams: Research methodologies and methods T Clear, SG MacDonell Information and Software Technology 53 (9), 994-1011, 2011	63	2011
Using prior-phase effort records for re-estimation during software projects SG MacDonell, MJ Shepperd Proceedings. 5th International Workshop on Enterprise Networking and …, 2004	61	2004
Software forensics: old methods for a new science P Sallis, A Aakjaer, S MacDonell Proceedings 1996 International Conference Software Engineering: Education …, 1996	61	1996

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