How Are Performance Issues Caused and Resolved?-An Empirical Study from a Design Perspective

Author:

Zhao Yutong1,Xiao Lu1,Wang Xiao1,Sun Lei1,Chen Bihuan2,Liu Yang3,Bondi Andre B.1

Affiliation:

1. Stevens Institute of Technology, Hoboken, NJ, USA

2. Fudan University, Shanghai, China

3. Nanyang Technological University, Singapore, Singapore

Publisher

ACM

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Early Progress on Enhancing Existing Software Engineering Courses to Cultivate Performance Awareness;Companion of the 2023 ACM/SPEC International Conference on Performance Engineering;2023-04-15

2. A Large-Scale Empirical Study of Real-Life Performance Issues in Open Source Projects;IEEE Transactions on Software Engineering;2023-02-01

3. Understanding performance problems in deep learning systems;Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2022-11-07

4. On Reporting Performance and Accuracy Bugs for Deep Learning Frameworks: An Exploratory Study from GitHub;The International Conference on Evaluation and Assessment in Software Engineering 2022;2022-06-13

5. On the Effectiveness of Bisection in Performance Regression Localization;Empirical Software Engineering;2022-04-30

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