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Cyber Security Research Centre (Software Engineering)

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  1. 2018
  2. 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

  3. 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

  4. 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

  5. 2019
  6. 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

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