Kudrjavets et al., 2022 - Google Patents
Quantifying daily evolution of mobile software based on memory allocator churnKudrjavets et al., 2022
View PDF- Document ID
- 7741250322697557324
- Author
- Kudrjavets G
- Thomas J
- Kumar A
- Nagappan N
- Rastogi A
- Publication year
- Publication venue
- Proceedings of the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems
External Links
Snippet
The pace and volume of code churn necessary to evolve modern software systems present challenges for analyzing the performance impact of any set of code changes. Traditional methods used in performance analysis rely on extensive data collection and profiling, which …
- 238000000034 method 0 abstract description 21
Classifications
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