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Cyber Security Research Centre (Software Engineering)

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  1. Published

    Evaluating three approaches to extracting fault data from software change repositories

    Hall, T., Bowes, D., Liebchen, G. & Wernick, P., 2010, International Conference on Product Focused Software Process Improvement: PROFES 2010: Product-Focused Software Process Improvement. Ali Babar, M., Viermaa, M. & Oivo, M. (eds.). Springer, p. 107-115 9 p.

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

  2. 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

  3. Published

    Developing fault-prediction models: What the research can show industry

    Hall, T., Beecham, S., Bowes, D., Gray, D. & Counsell, S., 1/11/2011, In: IEEE Software. 28, 6, p. 96-99 4 p.

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

  4. Published

    DConfusion: A technique to allow cross study performance evaluation of fault prediction studies

    Bowes, D., Hall, T. & Gray, D., 04/2014, In: Automated Software Engineering. 21, 2, p. 287-313 27 p.

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

  5. Published

    Comparing the performance of fault prediction models which report multiple performance measures: Recomputing the confusion matrix

    Bowes, D., Hall, T. & Gray, D., 2012, PROMISE '12 Proceedings of the 8th International Conference on Predictive Models in Software Engineering. ACM, p. 109-118 10 p.

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

  6. 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

  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/ISSN › Conference contribution/Paper › peer-review

  8. 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

  9. 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

  10. Published

    Assert use and defectiveness in industrial code

    Counsell, S., Hall, T., Shippey, T., Bowes, D., Tahir, A. & MacDonell, S., 14/11/2017, Proceedings - 2017 IEEE 28th International Symposium on Software Reliability Engineering Workshops, ISSREW 2017. Institute of Electrical and Electronics Engineers Inc., p. 20-23 4 p. 8109241

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

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