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Performance assurance activities are an essential step in the release cycle of large software systems. However, prior research on software performance often does not consider the impact on end users; while developers may miss performance issues that lowers the satisfaction rate of end users, or the effort is spent on fixing those issues that may not impact end users much. The goal of the proposed research is to help software practitioners better understand and cope with performance issues by considering their impact on the end users. In particular, I propose to conduct empirical studies on the impact of end users from existing performance bugs and build statistical models to gain deeper understanding of such impact. The findings are expected to provide new insights around performance issues across different programming languages and software systems.
Weiyi Shang
Kyushu University
Computer science
Education
Concordia University
Globalink Research Award
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