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Dive into the research topics where Lu Xiao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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CAREER: An AI Empowered Architecture-Centric Framework for Systematic Software-Performance Optimization
Xiao, L. (PI)
1/07/21 → 30/06/27
Project: Research project
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CRI: CI-NEW: Collaborative Research: Constructing a Community-Wide Software Architecture Infrastructure
Xiao, L. (PI)
1/09/18 → 31/08/23
Project: Research project
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BOARD #353A: DUE: Integrating Performance Engineering in Software Engineering Education: A Multi-Course Project Approach
Xiao, L., Tao, Y., Bondi, A. B. & Alomar, E. A., 2025, In: ASEE Annual Conference and Exposition, Conference Proceedings.Research output: Contribution to journal › Conference article › peer-review
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Cultivating Performance Awareness in a Testing Project: A Focus on Machine-Readable Travel Documents
Xiao, L., Bondi, A. B., Alomar, E. A. & Tao, Y., 5 May 2025, ICPE Companion 2025 - Companion of the 16th ACM/SPEC International Conference on Performance Engineering. p. 81-86 6 p. (ICPE Companion 2025 - Companion of the 16th ACM/SPEC International Conference on Performance Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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How Do Developers Structure Unit Test Cases? An Empirical Analysis of the AAA Pattern in Open Source Projects
Wei, C., Xiao, L., Yu, T., Wong, S. & Clune, A., 2025, In: IEEE Transactions on Software Engineering. 51, 4, p. 1007-1038 32 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
The Secret Life of Bots in Pull Requests: An Empirical Study based on Apache Projects
Wei, C., Xiao, L., Liao, T. & Zhao, Y., 2025, Proceedings - 2025 IEEE/ACM International Workshop on Bots in Software Engineering, BotSE 2025. p. 33-37 5 p. (Proceedings - 2025 IEEE/ACM International Workshop on Bots in Software Engineering, BotSE 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Trustworthy Natural Language Interfaces for Quantum Optimization: A Secure and Resilient Translation Framework
Sato, K., Singh, M., Dhadda, R., Rizzuto, A., Atrach, A., Xiao, L. & Wang, Y., 2025, Keynotes, Workshops, Posters, Panels, and Tutorials Program. Culhane, C., Byrd, G., Muller, H., Delgado, A. & Eidenbenz, S. (eds.). p. 79-84 6 p. (Proceedings - IEEE Quantum Week 2025, QCE 2025; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review