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Research

Professor Tracy Hall

Chair in Software Engineering

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  1. 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

  2. Published

    Evolutionary coupling measurement: Making sense of the current chaos

    Kirbas, S., Hall, T. & Sen, A., 15/02/2017, In: Science of Computer Programming. 135, p. 4-19 16 p.

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

  3. 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

  4. Published

    Using Machine Learning to Recognise Novice and Expert Programmers

    Lee, C. H. & Hall, T., 23/11/2021, Product-Focused Software Process Improvement - 22nd International Conference, PROFES 2021, Proceedings: 22nd International Conference, PROFES 2021, Turin, Italy, November 26, 2021, Proceedings. Ardito, L., Jedlitschka, A., Morisio, M. & Torchiano, M. (eds.). Cham: Springer, p. 199-206 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13126 LNCS).

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

  5. 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

  6. 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

  7. Published

    Reducing Software Developer Human Errors by Improving Situation Awareness

    Nageria, B. & Hall, T., 1/11/2020, In: IEEE Software. 37, 6, p. 32-37 6 p.

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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  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. 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

  16. Published

    Zones of pain: Visualising the relationship between software architecture and defects

    Petrić, J., Hall, T. & Bowes, D., 31/08/2020, Quality of Information and Communications Technology: 13th International Conference, QUATIC 2020, Faro, Portugal, September 9–11, 2020, Proceedings. Shepperd, M., Brito e Abreu, F., Rodrigues da Silva, A. & Pérez-Castillo, R. (eds.). Cham: Springer Science and Business Media Deutschland GmbH, p. 135-143 9 p. (Communications in Computer and Information Science; vol. 1266).

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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. Published

    Factors that motivate software engineering teams: A four country empirical study

    Verner, J. M., Babar, M. A., Cerpa, N., Hall, T. & Beecham, S., 25/01/2014, In: Journal of Systems and Software. 92, p. 115-127 13 p.

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

  25. 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

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