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Zhen Ming (Jack) Jiang
Zhen Ming (Jack) Jiang
Other namesZhen Ming Jiang, ZhenMing Jiang
Verified email at cse.yorku.ca - Homepage
Title
Cited by
Year
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting
H Li, GK Rajbahadur, D Lin, CP Bezemer, ZM Jiang
IEEE Access, 2024
22024
Systems, methods, and non-transitory computer-readable storage devices for training deep learning and neural network models using overfitting detection and prevention
H Li, GK Rajbahadur, D Lin, Z Jiang
US Patent App. 18/384,634, 2024
2024
Disambiguating Performance Anomalies from Workload Changes in Cloud-Native Applications
A Baluta, Y Rouf, J Mukherjee, ZM Jiang, M Litoiu
Proceedings of the 15th ACM/SPEC International Conference on Performance …, 2024
12024
Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers
AE Hassan, GA Oliva, D Lin, B Chen, Z Ming
arXiv preprint arXiv:2404.10225, 2024
12024
Rethinking software engineering in the era of foundation models: A curated catalogue of challenges in the development of trustworthy fmware
AE Hassan, D Lin, GK Rajbahadur, K Gallaba, FR Cogo, B Chen, ...
arXiv preprint arXiv:2402.15943, 2024
32024
Bug characterization in machine learning-based systems
MM Morovati, A Nikanjam, F Tambon, F Khomh, ZM Jiang
Empirical Software Engineering 29 (1), 14, 2024
232024
A Survey on Query-based API Recommendation
M Wei, NS Harzevili, AB Belle, J Wang, L Shi, S Wang, ZM Jiang
arXiv preprint arXiv:2312.10623, 2023
2023
Github copilot ai pair programmer: Asset or liability?
AM Dakhel, V Majdinasab, A Nikanjam, F Khomh, MC Desmarais, ...
Journal of Systems and Software 203, 111734, 2023
2152023
An empirical comparison on the results of different clone detection setups for c-based projects
Y Zhou, J Chen, Y Shi, B Chen, ZMJ Jiang
2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023
22023
Bugs in machine learning-based systems: a faultload benchmark
MM Morovati, A Nikanjam, F Khomh, ZM Jiang
Empirical Software Engineering 28 (3), 62, 2023
112023
Towards a change taxonomy for machine learning pipelines: Empirical study of ML pipelines and forks related to academic publications
A Bhatia, EE Eghan, M Grichi, WG Cavanagh, ZM Jiang, B Adams
Empirical Software Engineering 28 (3), 60, 2023
72023
An empirical study of challenges in converting deep learning models
M Openja, A Nikanjam, AH Yahmed, F Khomh, ZMJ Jiang
2022 IEEE International Conference on Software Maintenance and Evolution …, 2022
182022
Towards training reproducible deep learning models
B Chen, M Wen, Y Shi, D Lin, GK Rajbahadur, ZM Jiang
Proceedings of the 44th International Conference on Software Engineering …, 2022
252022
Towards build verifiability for java-based systems
J Xiong, Y Shi, B Chen, FR Cogo, ZM Jiang
Proceedings of the 44th International Conference on Software Engineering …, 2022
22022
Evaluating the scalability and elasticity of function as a service platform
KL Ngo, J Mukherjee, ZM Jiang, M Litoiu
Proceedings of the 2022 ACM/SPEC on International Conference on Performance …, 2022
52022
Has Your FaaS Application Been Decommissioned Yet?--A Case Study on the Idle Timeout in Function as a Service Infrastructure
KL Ngo, J Mukherjee, ZM Jiang, M Litoiu
arXiv preprint arXiv:2203.10227, 2022
22022
Towards a consistent interpretation of aiops models
Y Lyu, GK Rajbahadur, D Lin, B Chen, ZM Jiang
ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (1), 1-38, 2021
182021
An empirical study of the impact of data splitting decisions on the performance of AIOps solutions
Y Lyu, H Li, M Sayagh, ZM Jiang, AE Hassan
ACM Transactions on Software Engineering and Methodology (TOSEM) 30 (4), 1-38, 2021
292021
An experience report on producing verifiable builds for large-scale commercial systems
Y Shi, M Wen, FR Cogo, B Chen, ZM Jiang
IEEE Transactions on Software Engineering 48 (9), 3361-3377, 2021
82021
A survey of software log instrumentation
B Chen, ZM Jiang
ACM Computing Surveys (CSUR) 54 (4), 1-34, 2021
372021
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