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  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. Published

    Prototyping 'clasp': implications for designing digital technology for and with adults with autism

    Simm, W., Ferrario, M. A., Gradinar, A. & Whittle, J., 2014, DIS '14 Proceedings of the 2014 conference on Designing interactive systems. New York: ACM, p. 345-354 10 p.

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

  7. Published

    Tiree energy pulse: exploring renewable energy forecasts on the edge of the grid

    Simm, W., Ferrario, M. A., Newman, P., Friday, A., Forshaw, S., Hazas, M. & Dix, A., 04/2015, CHI '15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery (ACM) Press, p. 1965-1974 10 p.

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

  8. Published

    On the role of digital consultation tools in public space design: a case study

    Simm, W., Ferrario, M-A., Whittle, J., Davenport, R., Binner, J., Frankova, K., Garton, L., Woodcock, A., Lam, B. & Lawlor-Wright, T., 05/2016, In: Interacting with Computers. 28, 3, p. 273-292 20 p.

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

  9. Published

    Anxiety and autism: towards personalized digital health

    Simm, W. A., Ferrario, M. A. F. C., Gradinar, A. I., Forshaw, S., Smith, M., Smith, I. C. & Whittle, J. N. D., 7/05/2016, CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. New York: ACM, p. 1270-1281 12 p.

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

  10. Published

    SE in ES: Opportunities for Software Engineering and Cloud Computing in Environmental Science

    Simm, W. A., Samreen, F., Bassett, R., Ferrario, M. A. F. C., Blair, G. S., Young, P. J. & Whittle, J. N. D., 3/06/2018, ICSE-SEIS '18 Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Society. New York: ACM, p. 61-70 10 p.

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

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