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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
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. External link
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. External link
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. External link
McIntosh, S., Kamei, Y., Adams, B., & Hassan, A. E. (2014, May). The impact of code review coverage and code review participation on Software quality: A case study of the Qt, VTK, and ITK projects [Paper]. 11th International Working Conference on Mining Software Repositories (MSR 2014), Hyderabad, India. External link
Nagano, R., Nakamura, H., Kamei, Y., Adams, B., Hisazumi, K., Ubayashi, N., & Fukuda, A. (2012, June). Using the GPGPU for scaling up Mining Software Repositories [Paper]. 34th International Conference on Software Engineering (ICSE 2012), Zurich, Switzerland. External link
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). External link
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). External link
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. External link
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. External link