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Using Fault Characteristics to improve Software Fault Prediction

Funder: EPSRC
Duration: January 2014 - January 2017

People

Name Telephone Email Office
Professor Steve Counsell Professor Steve Counsell
Professor
T: +44 (0)1895 266740
E: steve.counsell@brunel.ac.uk
+44 (0)1895 266740 steve.counsell@brunel.ac.uk Wilfred Brown Building 114

Outputs

Hall, T. (2018) 'Software Defect Prediction: Do Different Classifiers Find the Same Defects?'. Software Quality Journal, 26 (2). pp. 525 - 552. ISSN: 0963-9314 Open Access Link

Journal article

Mahmood, Z., Bowes, D., Hall, T., Lane, PCR. and Petrić, J. (2018) 'Reproducibility and replicability of software defect prediction studies'. Information and Software Technology, 99. pp. 148 - 163. ISSN: 0950-5849 Open Access Link

Journal article

Bowes, D., Counsell, S., Hall, T., Petric, J. and Shippey, T. (2017) 'Getting defect prediction into industrial practice: The ELFF tool'.2017 IEEE 28th International Symposium on Software Reliability Engineering: Workshops (ISSREW). Toulouse, FRANCE. 14 - 26 October. IEEE. pp. 44 - 47. ISSN: 2375-821X

Conference paper

Counsell, S., Hall, T., Shippey, T., Bowes, D., Tahir, A. and MacDonell, S. (2017) 'Assert use and defectiveness in industrial code'.2017 IEEE 28th International Symposium on Software Reliability Engineering: Workshops (ISSREW). Toulouse, FRANCE. 14 - 26 October. IEEE. pp. 20 - 23. ISSN: 2375-821X

Conference paper

Bowes, D., Hall, T., Petrić, J., Shippey, T. and Turhan, B. (2017) 'How Good Are My Tests?'.The 8th Workshop on Emerging Trends in Software Metrics. Buenos Aires, Argentina. 3 - 28 May. IEEE. pp. 9 - 14. ISSN: 2327-0950 Open Access Link

Conference paper

Kirbas, S., Hall, T. and Sen, A. (2017) 'Evolutionary coupling measurement: Making sense of the current chaos'. Science of Computer Programming, 135. pp. 4 - 19. ISSN: 0167-6423

Journal article

Kirbas, S., Caglayan, B., Hall, T., Counsell, S., Bowes, D., Sen, A. and et al. (2017) 'The relationship between evolutionary coupling and defects in large industrial software'. Journal of Software: Evolution and Process, 29 (4). ISSN: 2047-7473 Open Access Link

Journal article

Shippey, T., Hall, T., Counsell, S. and Bowes, D. (2016) 'So You Need More Method Level Datasets for Your Software Defect Prediction?: Voilà!'.ESEM '16: ACM/IEEE 9th International Symposium on Empirical Software Engineering and Measurement. ACM. pp. 1 - 6. ISSN: 1949-3770

Conference paper

Petrić, J., Bowes, D., Hall, T., Christianson, B. and Baddoo, N. (2016) 'Building an Ensemble for Software Defect Prediction Based on Diversity Selection'.ESEM '16: ACM/IEEE 9th International Symposium on Empirical Software Engineering and Measurement. ACM. ISSN: 1949-3770

Conference paper

Bowes, D., Hall, T., Harman, M., Jia, Y., Sarro, F. and Wu, F. (2016) 'Mutation-aware fault prediction'.ISSTA '16: International Symposium on Software Testing and Analysis. ACM. pp. 330 - 341.Open Access Link

Conference paper

Petrić, J., Bowes, D., Hall, T., Christianson, B. and Baddoo, N. (2016) 'The Jinx on the NASA software defect data sets'.EASE '16: 20th International Conference on Evaluation and Assessment in Software Engineering. ACM. pp. 1 - 5.

Conference paper

Bowes, D., Hall, T. and Petrić, J. (2015) 'Different classifiers find different defects although with different level of consistency'.PROMISE '15: The 11th International Conference on Predictive Models and Data Analytics in Software Engineering. ACM. pp. 1 - 10.

Conference paper

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