Items where Author is "Bowes, D."

Journal Article

Ortu, M. and Destefanis, G. and Hall, T. and Bowes, D. (2023) Fault-insertion and fault-fixing behavioural patterns in Apache Software Foundation Projects. Information and Software Technology, 158: 107187. ISSN 0950-5849

Kirbas, S. and Windels, E. and McBello, O. and Kells, K. and Pagano, M. and Szalanski, R. and Nowack, V. and Winter, E. and Counsell, S. and Bowes, D. and Hall, T. and Haraldsson, S. and Woodward, J. (2021) On the Introduction of Automatic Program Repair in Bloomberg. IEEE Software, 38 (4). pp. 43-51. ISSN 0740-7459

Bowes, D. and Shihab, E. and Turhan, B. (2019) Guest editorial : special section on predictive models and data analytics in software engineering. Empirical Software Engineering, 24 (5). 3151–3152. ISSN 1382-3256

Shepperd, M. and Hall, T. and Bowes, D. (2018) Authors' reply to 'comments on 'researcher bias: The use of machine learning in software defect prediction''. IEEE Transactions on Software Engineering, 44 (11). pp. 1129-1131. ISSN 0098-5589

Beecham, S. and Bowes, D. and Stol, K.-J. (2017) Introduction to the EASE 2016 special section : Evidence-based software engineering: Past, present, and future. Information and Software Technology, 89. pp. 14-18. ISSN 0950-5849

Bowes, D. and Hall, T. and Gray, D. (2014) DConfusion : A technique to allow cross study performance evaluation of fault prediction studies. Automated Software Engineering, 21 (2). pp. 287-313. ISSN 0928-8910

Gray, D. and Bowes, D. and Davey, N. and Sun, Y. and Christianson, B. (2012) Reflections on the NASA MDP data sets. IET Software, 6 (6). 549 - 558. ISSN 1751-8806

Hall, T. and Beecham, S. and Bowes, D. and Gray, D. and Counsell, S. (2012) A systematic literature review on fault prediction performance in software engineering. IEEE Transactions on Software Engineering, 38 (6). pp. 1276-1304. ISSN 0098-5589

Hall, T. and Beecham, S. and Bowes, D. and Gray, D. and Counsell, S. (2011) Developing fault-prediction models : What the research can show industry. IEEE Software, 28 (6). pp. 96-99. ISSN 0740-7459

Counsell, S. and Hall, T. and Bowes, D. (2010) A theoretical and empirical analysis of three slice-based metrics for cohesion. International Journal of Software Engineering and Knowledge Engineering, 20 (5). pp. 609-636. ISSN 0218-1940

Contribution in Book/Report/Proceedings

Petrić, J. and Hall, T. and Bowes, D. (2020) Zones of pain : Visualising the relationship between software architecture and defects. In: Quality of Information and Communications Technology : 13th International Conference, QUATIC 2020, Faro, Portugal, September 9–11, 2020, Proceedings. Communications in Computer and Information Science . Springer Science and Business Media Deutschland GmbH, Cham, pp. 135-143. ISBN 9783030587925

Destefanis, G. and Qaderi, S. and Bowes, D. and Petric, Jean and Ortu, M. (2018) A Longitudinal Study of Anti Micro Patterns in 113 Versions of Tomcat. In: PROMISE'18 Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering :. PROMISE'18 . ACM, New York, NY, USA, pp. 90-93. ISBN 9781450365932

Shippey, T. and Bowes, D. and Counsell, S. and Hall, T. (2018) Code cleaning for software defect prediction : A cautionary tale. In: 2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) :. IEEE, pp. 239-243. ISBN 9781538673836

Destefanis, G. and Ortu, M. and Bowes, D. and Marchesi, M. and Tonelli, R. (2018) On measuring affects of github issues' commenters. In: SEmotion '18 Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering :. ACM, New York, pp. 14-19. ISBN 9781450357517

Bowes, D. and Randall, D. and Hall, T. (2013) The inconsistent measurement of Message Chains. In: 2013 4th International Workshop on Emerging Trends in Software Metrics (WETSoM) :. IEEE, pp. 62-68. ISBN 9781467363310

Bowes, D. and Hall, T. and Gray, D. (2012) Comparing the performance of fault prediction models which report multiple performance measures : Recomputing the confusion matrix. In: PROMISE '12 Proceedings of the 8th International Conference on Predictive Models in Software Engineering :. ACM, pp. 109-118. ISBN 9781450312417

Bowes, D. and Hall, T. and Beecham, S. (2012) SLuRp: A tool to help large complex systematic literature reviews deliver calid and rigorous results. In: EAST'12 - Proceedings of the 2nd International Workshop on Evidential Assessment of Software Technologies :. ACM, pp. 33-36. ISBN 9781450315098

Shippey, T. and Bowes, D. and Chrisianson, B. and Hall, T. (2012) A mapping study of software code cloning. In: 16th International Conference on Evaluation & Assessment in Software Engineering (EASE 2012) :. IEEE, pp. 274-278. ISBN 9781849195416

Hall, T. and Bowes, D. (2012) The state of machine learning methodology in software fault prediction. In: Proceedings 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012 :. IEEE, pp. 308-313. ISBN 9781467346511

Gray, D. and Bowes, D. and Davey, N. and Sun, Y. and Christianson, B. (2011) Further thoughts on precision. In: 15th Annual Conference on Evaluation & Assessment in Software Engineering (EASE 2011) :. IEEE, pp. 129-133. ISBN 9781849195096

Bowes, D. and Hall, T. and Kerr, A. (2011) Program slicing-based cohesion measurement : The challenges of replicating studies using metrics. In: WETSoM '11 Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics :. ACM, pp. 75-80. ISBN 9781450305938

Gray, D. and Bowes, D. and Davey, N. and Sun, Y. and Christianson, B. (2011) The misuse of the NASA Metrics Data Program data sets for automated software defect prediction. In: 15th Annual Conference on Evaluation & Assessment in Software Engineering (EASE 2011) :. IEEE, pp. 96-103. ISBN 9781849195096

Hall, T. and Bowes, D. and Liebchen, G. and Wernick, P. (2010) Evaluating three approaches to extracting fault data from software change repositories. In: International Conference on Product Focused Software Process Improvement : PROFES 2010: Product-Focused Software Process Improvement. Springer, pp. 107-115. ISBN 9783642137914

Gray, D. and Bowes, D. and Davey, N. and Sun, Y. and Christianson, B. (2010) Software defect prediction using static code metrics underestimates defect-proneness. In: The 2010 International Joint Conference on Neural Networks (IJCNN) :. IEEE, pp. 1-7. ISBN 9781424469178

Counsell, S. and Hall, T. and Nasseri, E. and Bowes, D. (2010) An analysis of the 'inconclusive' change report category in OSS assisted by a program slicing metric. In: 2010 36th EUROMICRO Conference on Software Engineering and Advanced Applications :. IEEE, pp. 283-286. ISBN 9780769541709

Black, S. and Counsell, S. and Hall, T. and Bowes, D. (2009) Fault analysis in OSS based on program slicing metrics. In: 2009 35th Euromicro Conference on Software Engineering and Advanced Applications :. IEEE, pp. 3-10. ISBN 9780769537849

Gray, D. and Bowes, D. and Davey, N. and Sun, Y. and Christianson, B. (2009) Using the support vector machine as a classification method for software defect prediction with static code metrics. In: International Conference on Engineering Applications of Neural Networks EANN 2009 : Engineering Applications of Neural Networks. Communications in Computer and Information Science . Springer, pp. 223-234. ISBN 9783642039683

Bowes, D. and Adams, R. and Cãnamero, L. and Steuber, V. and Davey, N. (2009) The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot. In: 2009 IEEE Symposium on Artificial Life, ALIFE 2009 - Proceedings :. IEEE, pp. 179-183. ISBN 9781424427635

Bowes, D. and Adams, R. and Cañamero, L. and Steuber, V. and Davey, N. (2008) Receptor response and soma leakiness in a simulated spiking neural controller for a robot. In: Proceedings of the 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing :. UNSPECIFIED, pp. 100-106. ISBN 9789898111333

Contribution to Conference

Nowack, V. and Bowes, D. and Counsell, S. and Hall, T. and Haraldsson, S. and Winter, E. and Woodward, J. and SIGEVO, ACM (2020) Exploiting fault localisation for efficient program repair : 2020 Genetic and Evolutionary Computation Conference, GECCO 2020. In: 2020 Genetic and Evolutionary Computation Conference, GECCO 2020, 2020-07-08 - 2020-07-12, Cancun; Mexico.