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Research

Dr David Bowes

Formerly at Lancaster University

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  1. 2024
  2. E-pub ahead of print

    The Impact of Hard and Easy Negative Training Data on Vulnerability Prediction Performance

    Debeyan, F., Madeyski, L., Hall, T. & Bowes, D., 31/05/2024, In: Journal of Systems and Software. 211, 112003.

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

  3. 2023
  4. Published

    Fault-insertion and fault-fixing behavioural patterns in Apache Software Foundation Projects

    Ortu, M., Destefanis, G., Hall, T. & Bowes, D., 30/06/2023, In: Information and Software Technology. 158, 21 p., 107187.

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

  5. Published

    How do developers really feel about bug fixing? Directions for automatic program repair

    Winter, E., Bowes, D., Counsell, S., Hall, T., Haraldsson, S., Nowack, V. & Woodward, J., 1/04/2023, In: IEEE Transactions on Software Engineering. 49, 4, p. 1823-1841 19 p., 4.

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

  6. Published

    Let's Talk With Developers, Not About Developers: A Review of Automatic Program Repair Research

    Winter, E., Nowack, V., Bowes, D., Counsell, S., Hall, T., Haraldsson, S. & Woodward, J., 31/01/2023, In: IEEE Transactions on Software Engineering. 49, 1, p. 419-436 18 p.

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

  7. 2022
  8. Published

    Improved Evaluation of Automatic Source Code Summarisation

    Phillips, J., Bowes, D., El-Haj, M. & Hall, T., 7/12/2022, 2nd Wokshop on Natural Language Generation, Evaluation and Metrics: Proceedings of the Workshop. Stroudsberg, PA.: Association for Computational Linguistics (ACL Anthology), p. 326-335 10 p.

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

  9. Published

    Improving the Performance of Code Vulnerability Prediction using Abstract Syntax Tree Information

    Debeyan, F., Hall, T. & Bowes, D., 17/11/2022, PROMISE 2022: Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering. McIntosh, S., Shang, W. & Perez, G. R. (eds.). New York: ACM, p. 2-11 10 p.

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

  10. Published

    Towards Developer-Centered Automatic Program Repair: Findings from Bloomberg

    Winter, E., Nowack, V., Bowes, D., Counsell, S., Hall, T., Haraldsson, S., Woodward, J., Kirbas, S., Windells, E., McBello, O., Atakishiyev, A., Kells, K. & Pagano, M., 9/11/2022, ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) . New York: ACM

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

  11. Published

    Some automatically generated patches are more likely to be correct than others: an analysis of Defects4J patch features

    Bennett, G., Hall, T. & Bowes, D., 26/10/2022, Proceedings - International Workshop on Automated Program Repair, APR 2022. New York: ACM, p. 46-52 7 p.

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

  12. Published

    Expanding Fix Patterns to Enable Automatic Program Repair

    Nowack, V., Bowes, D., Counsell, S., Hall, T., Haraldsson, S., Winter, E. & Woodward, J., 11/02/2022, 2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE). Jin, Z., Li, X., Xiang, J., Mariani, L., Liu, T., Yu, X. & Ivaki, N. (eds.). IEEE Computer Society Press, p. 12-23 12 p. (2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE)).

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

  13. 2021
  14. Published

    On the Introduction of Automatic Program Repair in Bloomberg

    Kirbas, S., Windels, E., McBello, O., Kells, K., Pagano, M., Szalanski, R., Nowack, V., Winter, E., Counsell, S., Bowes, D., Hall, T., Haraldsson, S. & Woodward, J., 31/07/2021, In: IEEE Software. 38, 4, p. 43-51 9 p.

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

  15. 2020
  16. Published

    BugVis: Commit slicing for fault visualisation

    Bowes, D., Petric, J. & Hall, T., 5/10/2020, ICPC '20: Proceedings of the 28th International Conference on Program Comprehension. New York: ACM, p. 436-440 5 p.

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

  17. Published

    Exploiting fault localisation for efficient program repair: 2020 Genetic and Evolutionary Computation Conference, GECCO 2020

    Nowack, V., Bowes, D., Counsell, S., Hall, T., Haraldsson, S., Winter, E., Woodward, J. & SIGEVO, ACM., 8/07/2020, p. 311-312. 2 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  18. Published

    Human Factors in the Study of Automatic Software Repair: Future Directions for Research with Industry

    Winter, E., Bowes, D., Counsell, S., Hall, T., Haraldsson, S., Nowack, V. & Woodward, J., 6/07/2020, Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020. New York: Association for Computing Machinery, Inc, p. 285-286 2 p. (Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020).

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

  19. Published

    Which Software Faults Are Tests Not Detecting?

    Petric, J., Hall, T. & Bowes, D., 15/04/2020, PROCEEDINGS of EASE 2020: Evaluation and Assessment in Software Engineering. New York: ACM, p. 160-169 10 p.

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

  20. 2019
  21. Published

    Guest editorial: special section on predictive models and data analytics in software engineering

    Bowes, D., Shihab, E. & Turhan, B., 1/10/2019, In: Empirical Software Engineering. 24, 5, p. 3151–3152 2 p.

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

  22. Published

    Automatically Identifying Code Features for Software Defect Prediction: Using AST N-grams

    Shippey, T., Bowes, D. & Hall, T., 02/2019, In: Information and Software Technology. 106, p. 142-160 19 p.

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

  23. 2018
  24. Published

    Authors' reply to 'comments on 'researcher bias: The use of machine learning in software defect prediction''

    Shepperd, M., Hall, T. & Bowes, D., 1/11/2018, In: IEEE Transactions on Software Engineering. 44, 11, p. 1129-1131 3 p.

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

  25. Published

    A Longitudinal Study of Anti Micro Patterns in 113 Versions of Tomcat

    Destefanis, G., Qaderi, S., Bowes, D., Petric, J. & Ortu, M., 10/10/2018, PROMISE'18 Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering. New York, NY, USA: ACM, p. 90-93 4 p. (PROMISE'18).

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

  26. Published

    How Effectively Is Defective Code Actually Tested? An Analysis of JUnit Tests in Seven Open Source Systems

    Petric, J., Hall, T. & Bowes, D., 10/10/2018, Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering. New York, NY, USA: ACM, p. 42-51 10 p. (PROMISE'18).

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

  27. Published

    Mining communication patterns in software development: A GitHub analysis

    Ortu, M., Hall, T., Marchesi, M., Tonelli, R., Bowes, D. & Destefanis, G., 10/10/2018, PROMISE'18 Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering. New York: ACM, p. 70-79 10 p.

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

  28. Published

    Code cleaning for software defect prediction: A cautionary tale

    Shippey, T., Bowes, D., Counsell, S. & Hall, T., 29/08/2018, 2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). IEEE, p. 239-243 5 p.

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

  29. Published

    Reproducibility and replicability of software defect prediction studies

    Mahmood, Z., Bowes, D., Hall, T., Lane, P. C. R. & Petrić, J., 1/07/2018, In: Information and Software Technology. 99, p. 148-163 16 p.

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

  30. Published

    On measuring affects of github issues' commenters

    Destefanis, G., Ortu, M., Bowes, D., Marchesi, M. & Tonelli, R., 2/06/2018, SEmotion '18 Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering. New York: ACM, p. 14-19 6 p.

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

  31. Published

    Software defect prediction: do different classifiers find the same defects?

    Bowes, D., Hall, T. & Petrić, J., 1/06/2018, In: Software Quality Journal. 26, 2, p. 525-552 28 p.

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

  32. Published

    Angry-Builds: An empirical study of affect metrics and builds success on GitHub ecosystem

    Ortu, M., Pinna, A., Tonelli, R., Marchesi, M., Bowes, D. & Destefanis, G., 21/05/2018, XP '18: Proceedings of the 19th International Conference on Agile Software Development: Companion. New York: Association for Computing Machinery (ACM), 2 p. a35

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

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