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Professor Tracy Hall

Chair in Software Engineering

  1. 2017
  2. 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/ISSNConference contribution/Paperpeer-review

  3. 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/ISSNConference contribution/Paperpeer-review

  4. 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/MagazineJournal articlepeer-review

  5. 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/MagazineJournal articlepeer-review

  6. 2016
  7. 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/ISSNConference contribution/Paperpeer-review

  8. 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/ISSNConference contribution/Paperpeer-review

  9. 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/ISSNConference contribution/Paperpeer-review

  10. 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/ISSNConference contribution/Paperpeer-review

  11. 2015
  12. 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/ISSNConference contribution/Paperpeer-review

  13. 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/ISSNConference contribution/Paperpeer-review

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