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NGO Chanh Duc

ORCID
0000-0001-9585-5244
Main Referenced Co-authors
PASTORE, Fabrizio  (4)
BRIAND, Lionel  (2)
BRIAND, Lionel (1)
Briand, Lionel (1)
Main Referenced Keywords
model-based testing (2); regression testing (2); update testing (2); Android Testing (1); Android testing (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SVV - Software Verification and Validation (2)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Software Verification and Validation Lab (SVV Lab) (2)
Main Referenced Disciplines
Computer science (5)

Publications (total 5)

The most downloaded
156 downloads
NGO, C. D., PASTORE, F., & BRIAND, L. (October 2022). Automated, Cost-effective, and Update-driven App Testing. ACM Transactions on Software Engineering and Methodology, 31 (4), 61. doi:10.1145/3502297 https://hdl.handle.net/10993/48809

The most cited

7 citations (OpenAlex)

NGO, C. D., PASTORE, F., & BRIAND, L. (October 2022). Automated, Cost-effective, and Update-driven App Testing. ACM Transactions on Software Engineering and Methodology, 31 (4), 61. doi:10.1145/3502297 https://hdl.handle.net/10993/48809

NGO, C. D., PASTORE, F., & Briand, L. (29 June 2024). Testing Updated Apps by Adapting Learned Models. ACM Transactions on Software Engineering and Methodology, 33 (6), 1-40. doi:10.1145/3664601
Peer Reviewed verified by ORBi

NGO, C. D. (2023). Automated Testing of Software Upgrades for Android Systems [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57964

NGO, C. D., PASTORE, F., & BRIAND, L. (2023). Testing Updated Apps by Adapting Learned Models. (v2). ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57718. doi:10.48550/arXiv.2308.05549

NGO, C. D., PASTORE, F., & BRIAND, L. (October 2022). Automated, Cost-effective, and Update-driven App Testing. ACM Transactions on Software Engineering and Methodology, 31 (4), 61. doi:10.1145/3502297
Peer Reviewed verified by ORBi

NGO, C. D., PASTORE, F., & BRIAND, L. (2022). ATUA: an update-driven app testing tool. In The 31st ACM SIGSOFT International Symposium on Software Testing and Analysis (pp. 765-768). New York, NY, United States: Association for Computing Machinery (ACM). doi:10.1145/3533767.3543293
Peer reviewed

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