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- research-articleSeptember 2023
Toward Understanding Deep Learning Framework Bugs
ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 32, Issue 6Article No.: 135, Pages 1–31https://doi.org/10.1145/3587155DL frameworks are the basis of constructing all DL programs and models, and thus their bugs could lead to the unexpected behaviors of any DL program or model relying on them. Such a wide effect demonstrates the necessity and importance of guaranteeing DL ...
- short-paperAugust 2022
MultiDimEr: a multi-dimensional bug analyzEr
TechDebt '22: Proceedings of the International Conference on Technical DebtPages 66–70https://doi.org/10.1145/3524843.3528099Background: Bugs and bug management consumes a significant amount of time and effort from software development organizations. A reduction in bugs can significantly improve the capacity for new feature development. Aims: We categorize and visualize ...
- ArticleDecember 2014
Dependability Analysis on Open Stack IaaS Cloud: Bug Anaysis and Fault Injection
CLOUDCOM '14: Proceedings of the 2014 IEEE 6th International Conference on Cloud Computing Technology and SciencePages 18–25https://doi.org/10.1109/CloudCom.2014.10This paper proposes a comparative study of cloud dependability between two methods--bug analysis and fault injection for assessing the impact of component failure on cloud service availability. We focus on the IaaS cloud with open source platform Open ...
- research-articleMarch 2012
On the improvement of a fault classification scheme with implications for white-box testing
SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied ComputingPages 1123–1130https://doi.org/10.1145/2245276.2231953Different testing techniques can be more or less effective on different fault types; therefore, testing methods that are most likely to detect the most common fault types should be preferred. However, to enable such a selection of testing methods, a ...