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Cyber Security Research Centre (Software Engineering)

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  1. 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

  2. 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

  3. 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

  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/Magazine › Journal article › peer-review

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

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