 | Monter d'un niveau |
Hermans, F., Siegmund, J., Fritz, T., Bavota, G., Nagappan, M., Hindle, A., Kamei, Y., Mesbah, A., & Adams, B. (2016). Leaders of Tomorrow on the Future of Software Engineering: A Roundtable. IEEE Software, 33(2), 99-104. Lien externe
Kamei, Y., Shihab, E., Adams, B., Hassan, A. E., Mockus, A., Sinha, A., & Ubayashi, N. (2013). A large-scale empirical study of just-in-time quality assurance. IEEE Transactions on Software Engineering, 39(6), 757-773. Lien externe
McIntosh, S., Kamei, Y., Adams, B., & Hassan, A. E. (2015). An empirical study of the impact of modern code review practices on software quality. Empirical Software Engineering, 21(5), 2146-2189. Lien externe
McIntosh, S., Kamei, Y., Adams, B., & Hassan, A. E. (mai 2014). The impact of code review coverage and code review participation on Software quality: A case study of the Qt, VTK, and ITK projects [Communication écrite]. 11th International Working Conference on Mining Software Repositories (MSR 2014), Hyderabad, India. Lien externe
Nagano, R., Nakamura, H., Kamei, Y., Adams, B., Hisazumi, K., Ubayashi, N., & Fukuda, A. (juin 2012). Using the GPGPU for scaling up Mining Software Repositories [Communication écrite]. 34th International Conference on Software Engineering (ICSE 2012), Zurich, Switzerland. Lien externe
Quach, S., Lamothe, M., Kamei, Y., & Shang, W. (2021). An empirical study on the use of SZZ for identifying inducing changes of non-functional bugs. Empirical Software Engineering, 26(4). Lien externe
Quach, S., Lamothe, M., Adams, B., Kamei, Y., & Shang, W. (2021). Evaluating the impact of falsely detected performance bug-inducing changes in JIT models. Empirical Software Engineering, 26(5). Lien externe
Shihab, E., Kamei, Y., Adams, B., & Hassan, A. E. (2013). Is Lines of Code a Good Measure of Effort in Effort-Aware Models? Information and Software Technology, 55(11), 1981-1993. Lien externe
Shihab, E., Ihara, A., Kamei, Y., Ibrahim, W. M., Ohira, M., Adams, B., Hassan, A. E., & Matsumoto, K.-I. (2013). Studying re-opened bugs in open source software. Empirical Software Engineering, 18(5), 1005-1042. Lien externe
