Who Ate My Memory? Towards Attribution in Memory Management
December 22, 2022 Β· Declared Dead Β· π 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
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Authors
Gunnar Kudrjavets, Ayushi Rastogi, Jeff Thomas, Nachiappan Nagappan
arXiv ID
2212.11866
Category
cs.SE: Software Engineering
Citations
0
Venue
2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
Last Checked
4 months ago
Abstract
To understand applications' memory usage details, engineers use instrumented builds and profiling tools. Both approaches are impractical for use in production environments or deployed mobile applications. As a result, developers can gather only high-level memory-related statistics for deployed software. In our experience, the lack of granular field data makes fixing performance and reliability-related defects complex and time-consuming. The software industry needs lightweight solutions to collect detailed data about applications' memory usage to increase developer productivity. Current research into memory attribution-related data structures, techniques, and tools is in the early stages and enables several new research avenues.
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