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Research

Dr David Bowes

Formerly at Lancaster University

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  1. 2018
  2. Published

    The relationship between evolutionary coupling and defects in large industrial software (journal-first abstract)

    Kirbas, S., Caglayan, B., Hall, T., Counsell, S., Bowes, D., Sen, A. & Bener, A., 2/04/2018, 25th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 471 1 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. 2017
  4. Published

    Assert use and defectiveness in industrial code

    Counsell, S., Hall, T., Shippey, T., Bowes, D., Tahir, A. & MacDonell, S., 14/11/2017, Proceedings - 2017 IEEE 28th International Symposium on Software Reliability Engineering Workshops, ISSREW 2017. Institute of Electrical and Electronics Engineers Inc., p. 20-23 4 p. 8109241

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. Published

    Getting defect prediction into industrial practice: The ELFF tool

    Bowes, D., Counsell, S., Hall, T., Petric, J. & Shippey, T., 14/11/2017, Proceedings - 2017 IEEE 28th International Symposium on Software Reliability Engineering Workshops, ISSREW 2017. Institute of Electrical and Electronics Engineers Inc., p. 44-47 4 p. 8109247

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  6. Published

    Welcome to the 13th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2017)

    Turhan, B. (Editor), Bowes, D. (Editor) & Shihab, E. (Editor), 8/11/2017, Proceedings of the 13th International Conference on Predictive Models and Data Analytics in Software Engineering. New York: ACM

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper

  7. Published

    Introduction to the EASE 2016 special section: Evidence-based software engineering: Past, present, and future

    Beecham, S., Bowes, D. & Stol, K.-J., 1/09/2017, In: Information and Software Technology. 89, p. 14-18 5 p.

    Research output: Contribution to Journal/Magazine › Journal article

  8. Published

    How Good Are My Tests?

    Bowes, D., Hall, T., Petrić, J., Shippey, T. & Turhan, B., 3/07/2017, 2017 IEEE/ACM 8th Workshop on Emerging Trends in Software Metrics (WETSoM). IEEE Computer Society, p. 9-14 6 p. 7968009. (2017 IEEE/ACM 8th Workshop on Emerging Trends in Software Metrics (WETSoM)).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  9. Published

    The relationship between evolutionary coupling and defects in large industrial software

    Kirbas, S., Caglayan, B., Hall, T., Counsell, S., Bowes, D., Sen, A. & Bener, A., 1/04/2017, In: Journal of Software: Evolution and Process. 29, 4, e1842.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  10. 2016
  11. Published

    Building an Ensemble for Software Defect Prediction Based on Diversity Selection

    Petrić, J., Bowes, D., Hall, T., Christianson, B. & Baddoo, N., 8/09/2016, ESEM '16 Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. New York: Association for Computing Machinery, Inc, 10 p. 46

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  12. Published

    So You Need More Method Level Datasets for Your Software Defect Prediction? Voilà!

    Shippey, T., Hall, T., Counsell, S. & Bowes, D., 8/09/2016, ESEM '16 Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. New York: IEEE Computer Society, 6 p. 12

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  13. Published

    Mutation-aware fault prediction

    Bowes, D., Hall, T., Harman, M., Jia, Y., Sarro, F. & Wu, F., 18/07/2016, ISSTA 2016 Proceedings of the 25th International Symposium on Software Testing and Analysis. New York: Association for Computing Machinery, Inc, p. 330-341 12 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  14. Published

    The Jinx on the NASA software defect data sets

    Petrić, J., Bowes, D., Hall, T., Christianson, B. & Baddoo, N., 1/06/2016, EASE '16 Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering. New York: Association for Computing Machinery, Inc, 5 p. 13

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  15. 2015
  16. Published

    Different classifiers find different defects although with different level of consistency

    Bowes, D., Hall, T. & Petrić, J., 21/10/2015, PROMISE '15 Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering. New York: Association for Computing Machinery, Inc, 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  17. Published

    What is the impact of imbalance on software defect prediction performance?

    Mahmood, Z., Bowes, D., Lane, P. C. R. & Hall, T., 21/10/2015, PROMISE '15 Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering. New York: Association for Computing Machinery, Inc, 4

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  18. 2014
  19. Published

    Some code smells have a significant but small effect on faults

    Hall, T., Bowes, D., Sun, Y. & Zhang, M., 08/2014, In: ACM Transactions on Software Engineering and Methodology. 23, 4, 39 p., 33.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  20. Published

    Researcher bias: The use of machine learning in software defect prediction

    Shepperd, M., Bowes, D. & Hall, T., 1/06/2014, In: IEEE Transactions on Software Engineering. 40, 6, p. 603-616 14 p., 6824804.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  21. Published

    DConfusion: A technique to allow cross study performance evaluation of fault prediction studies

    Bowes, D., Hall, T. & Gray, D., 04/2014, In: Automated Software Engineering. 21, 2, p. 287-313 27 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  22. 2013
  23. Published

    The inconsistent measurement of Message Chains

    Bowes, D., Randall, D. & Hall, T., 2013, 2013 4th International Workshop on Emerging Trends in Software Metrics (WETSoM). IEEE, p. 62-68 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  24. 2012
  25. Published

    A mapping study of software code cloning

    Shippey, T., Bowes, D., Chrisianson, B. & Hall, T., 2012, 16th International Conference on Evaluation & Assessment in Software Engineering (EASE 2012). IEEE, p. 274-278 5 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  26. Published

    A systematic literature review on fault prediction performance in software engineering

    Hall, T., Beecham, S., Bowes, D., Gray, D. & Counsell, S., 2012, In: IEEE Transactions on Software Engineering. 38, 6, p. 1276-1304 29 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  27. Published

    Comparing the performance of fault prediction models which report multiple performance measures: Recomputing the confusion matrix

    Bowes, D., Hall, T. & Gray, D., 2012, PROMISE '12 Proceedings of the 8th International Conference on Predictive Models in Software Engineering. ACM, p. 109-118 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  28. Published

    Reflections on the NASA MDP data sets

    Gray, D., Bowes, D., Davey, N., Sun, Y. & Christianson, B., 2012, In: IET Software. 6, 6, p. 549 - 558 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  29. Published

    SLuRp: A tool to help large complex systematic literature reviews deliver calid and rigorous results

    Bowes, D., Hall, T. & Beecham, S., 2012, EAST'12 - Proceedings of the 2nd International Workshop on Evidential Assessment of Software Technologies. ACM, p. 33-36 4 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  30. Published

    The state of machine learning methodology in software fault prediction

    Hall, T. & Bowes, D., 2012, Proceedings 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012. IEEE, p. 308-313 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  31. 2011
  32. Published

    Developing fault-prediction models: What the research can show industry

    Hall, T., Beecham, S., Bowes, D., Gray, D. & Counsell, S., 1/11/2011, In: IEEE Software. 28, 6, p. 96-99 4 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  33. Published

    Further thoughts on precision

    Gray, D., Bowes, D., Davey, N., Sun, Y. & Christianson, B., 2011, 15th Annual Conference on Evaluation & Assessment in Software Engineering (EASE 2011). IEEE, p. 129-133 5 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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