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Research

Professor Tracy Hall

Chair in Software Engineering

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  1. 2017
  2. 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

  3. 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

  4. 2016
  5. 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

  6. 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

  7. 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

  8. 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

  9. 2015
  10. 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

  11. 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

  12. 2014
  13. 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

  14. 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

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