Resource Leak Detection is a static code analysis technique that identifies instances in software where system resources such as memory, file handles, or network connections are acquired but not properly released, thereby distinguishing itself by focusing on the prevention of improper resource management that can lead to degraded performance or system failure.
22
Publications
999
Citations
81
Authors
32
Institutions
Publications per year
2017–2026
9
Parents
Publications
22
Characterizing and detecting resource leaks in Android applications
Chaorong Guo, Jian Zhang, Jun Yan et al. · 2013 · 94 citations
1–5 of 22
Authors
81
- JY
5
h-index
- TW
4
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- JL
3
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- AR
3
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- YZ
2
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1–5 of 81
Institutions
32
Institute of Software
Beijing, China
6 h-index
24 publications
1K citations
Chinese Academy of Sciences
Beijing, China
5 h-index
18 publications
714 citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
13 publications
640 citations
The Ohio State University
Columbus, United States
3 h-index
9 publications
483 citations
Heidelberg University
Heidelberg, Germany
3 h-index
9 publications
273 citations
IBM (United States)
Armonk, United States
2 h-index
3 publications
164 citations
Singapore Management University
Singapore, Singapore
2 h-index
2 publications
62 citations
Peking University
Beijing, China
2 h-index
8 publications
160 citations
1–8 of 32
Venues
- IEEE Transactions on Software Engineering
TSE · 2 publications · 114 citations
2
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- Empirical Software Engineering
2 publications · 63 citations
2
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- Proceedings of the 44th International Conference on Software Engineering
Conference · 1 publications · 35 citations
1
h-index
- Smart Water
1 publications · 216 citations
1
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- Science of Computer Programming
1 publications · 19 citations
1
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1–5