Effort Estimation Open-Source Projects

About Effort Estimation Open-Source Projects

We investigate open-source projects as case studies for understating how software structure, development methodologies and behaviour of developers affect the project - we further use these projects to understand the how effort necessary for development or maintenance of a project can be accurately represented and how well effort predictions in terms of hours or money match the ground truth.

Research Papers

• Counsell, S., Swift, S., Arzoky, M. and Destefanis, G. (2018) 'Do developers really worry about refactoring re-test? An empirical study of open-source systems'. Springer International Publishing. pp. 159 - 166. ISSN: 0302-9743
• Sigweni, B., Shepperd, M. and Turchi, T. (2016) 'Realistic Assessment of Software Effort Estimation Models'.20th International Conference on Evaluation and Assessment in Software Engineering (EASE). Limerick, Ireland. 3 - 3 June. ACM Press.
• Sharif, KY., English, M., Ali, N., Exton, C., Collins, JJ. and Buckley, J. (2015) 'An empirically-based characterization and quantification of information seeking through mailing lists during open source developers' software evolution'. Information and Software Technology, 57 (1). pp. 77 - 94. ISSN: 0950-5849
• Robles, G., González-Barahona, JM., Cervigón, C., Capiluppi, A. and Izquierdo-Cortázar, D. (2014) 'Estimating development effort in free/open source software projects by mining software repositories: A case study of OpenStack'.the 11th Working Conference. ACM Press. pp. 222 - 231.
• Sigweni, B. and Shepperd, M. (2014) 'Feature weighting techniques for CBR in software effort estimation studies: A review and empirical evaluation'.the 10th International Conference. Association for Computing Machinery. pp. 32 - 41.
• Shepperd, M. (2014) 'Cost prediction and software project management', inSoftware Project Management in a Changing World. Springer Berlin Heidelberg. , 9783642550355. pp. 51 - 71. ISBN 10: 3642550347. ISBN 13: 9783642550348.
• Capiluppi, A., Stol, KJ. and Boldyreff, C. (2013) 'Software reuse in open source: A case study', inOpen Source Software Dynamics, Processes, and Applications. IGI Global. pp. 151 - 176. ISBN 10: 1466629371. ISBN 13: 9781466629370.
• Khondhu, J., Capiluppi, A. and Stol, K-J. (2013) 'Is it all lost? A study of inactive open source projects', in Petrinja, E., Succi, G., El Ioini, N. and Sillitti, A. (eds.) Open source software: Quality verification. Springer. , 404. pp. 61 - 79. ISBN 13: 978-3-642-38927-6.
• Shepperd, M. and MacDonell, S. (2012) 'Evaluating prediction systems in software project estimation'. Information and Software Technology, 54 (8). pp. 820 - 827. ISSN: 0950-5849
• Menzies, T. and Shepperd, M. (2012) 'Special issue on repeatable results in software engineering prediction'. Empirical Software Engineering, 17 (1-2). pp. 1 - 17. ISSN: 1382-3256
• Capiluppi, A. (2012) 'Similarities, challenges and opportunities of wikipedia content and open source projects'. Journal of Software: Evolution and Process, 25 (Online Paper). pp. 891 - 914. ISSN: 2047-7481
• Song, Q. and Shepperd, M. (2011) 'Predicting software project effort: A grey relational analysis based method'. Expert Systems with Applications: An International Journal, 38 (6). pp. 7302 - 7316. ISSN: 0957-4174
• MacDonell, SG. and Shepperd, M. (2010) 'Data accumulation and software effort prediction'.4th International Symposium on Empirical Software Engineering and Measurement (ESEM 2010). Bolzano-Bozen, Italy. 16 - 17 September. ACM Press.
• Wang, Y., Song, Q., MacDonell, S., Shepperd, M. and Shen, J. (2009) 'Integrate the GM(1,1) and Verhulst models to predict software stage-effort'. IEEE Transactions on Systems, Man and Cybernetics - Part C, 39 (6). pp. 647 - 658. ISSN: 1094-6977
• Hammouda, I., Aaltonen, T. and Capiluppi, A. (2009) 'First international workshop on building sustainable open source communities (OSCOMM 2009)'. Springer. pp. 353 - 354. ISSN: 1868-4238
• Jorgensen, M. and Shepperd, M. (2007) 'A systematic review of software development cost estimation studies'. IEEE Transactions on Software Engineering, 33 (1). pp. 33 - 53. ISSN: 0098-5589
• Beecher, K., Boldyreff, C., Capiluppi, A. and Rank, S. (2007) 'Evolutionary success of open source software: An investigation into exogenous drivers'. ECEASST, 8. ISSN: 1863-2122
• MacDonell, S. and Shepperd, MJ. (2007) 'Comparing local and global software effort estimation models – reflections on a systematic review'.1st International Symposium on Empirical Software Engineering and Measurement. [unpublished]
• Mendes, E., Mosley, N. and Counsell, S. (2006) 'Web effort estimation', in Mendes, E. and Mosley, N. (eds.) Web Engineering. pp. 29 - 73. ISBN 13: 978-3-540-28196-2.
• Cartwright, M., Shepperd, M. and Twala, B. (2006) 'Ensemble of missing data techniques to improve software prediction accuracy'. 28th International Conference on Software Engineering (ICSE 2006), 20-28 May 2006, Shanghai, China. pp. 4.
• Mair, C. and Shepperd, M. (2006) 'Looking at comparisons of regression and analogy-based software project cost prediction'.Software Engineering Research and Practice. [unpublished]
• Twala, B., Cartwright, M. and Shepperd, M. (2006) 'Ensemble of missing data techniques to improve software prediction accuracy'. Proceedings - International Conference on Software Engineering. pp. 909 - 912. ISSN: 0270-5257
• Shepperd, M. and Cartwright, M. (2005) 'A replication of the use of regression towards the mean (R2M) as an adjustment to effort estimation models'. Proceedings - International Software Metrics Symposium, 2005. pp. 351 - 360. ISSN: 1530-1435
• Shepperd, M. (2005) 'Evaluating software project prediction systems'. Proceedings - International Software Metrics Symposium, 2005. pp. 3 - 4. ISSN: 1530-1435
• Song, Q., Shepperd, M. and Mair, C. (2005) 'Using grey relational analysis to predict software effort with small data sets'.11th IEEE International Software Metrics Symposium (Metrics05). Computer Society Press. pp. 321 - 330. ISSN: 1530-1435
• Premraj, R., Shepperd, M., Kitchenham, B. and Forselius, P. (2005) 'An empirical analysis of software productivity over time'.11th IEEE International Software Metrics Symposium (Metrics05). Como, ITALY. Computer Society Press. pp. 341 - 350. ISSN: 1530-1435
• Myrtveit, I., Stensrud, E. and Shepperd, MJ. (2005) 'Reliability and validity in comparative studies of software prediction models'. IEEE Transactions on Software Engineering, 31 (5). pp. 380 - 391. ISSN: 0098-5589
• Mair, C. and Shepperd, MJ. (2005) 'The consistency of empirical comparisons of regression and analogy-based software project cost prediction'.4th International Symposium on Empirical Software Engineering (ISESE). Noosa Heads, AUSTRALIA. IEEE. pp. 509 - 518.
• Passing, U. and Shepperd, M. (2003) 'An experiment on software project size and effort estimation'.ACM-IEEE International Symposium on Empirical Software Engineering (ISESE 2003). UNIV ROME, ROME, ITALY. IEEE Computer Society. pp. 120 - 129.
• MacDonell, S. and Shepperd, M. (2003) 'Using prior-phase effort records for re-estimation during software projects'.9th IEEE Intl. Metrics Symp.. SYDNEY, AUSTRALIA. IEEE Computer Society. pp. 73 - 86. ISSN: 1530-1435
• Lefley, M. and Shepperd, M. (2003) 'Using genetic programming to improve software effort estimation based on general data sets'.GECCO 2003. CHICAGO, ILLINOIS. Springer-Verlag. pp. 2477 - 2487. ISSN: 0302-9743
• MacDonell, SG. and Shepperd, MJ. (2003) 'Combining techniques to optimize effort predictions in software project management'. Journal of Systems and Software, 66 (2). pp. 91 - 98. ISSN: 0164-1212
• Kirsopp, C., Shepperd, MJ. and Hart, J. (2002) 'Search heuristics, case-based reasoning and software project effort prediction'.Genetic and Evolutionary Computation Conference (GECCO 2002).
• Shepperd, MJ. and Schofield, C. (1997) 'Estimating software project effort using analogies'. IEEE Transactions on Software Engineering, 23 (11). pp. 736 - 743. ISSN: 0098-5589