Memory and resource leak defects and their repairs in Java projects
Author:
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
http://link.springer.com/content/pdf/10.1007/s10664-019-09731-8.pdf
Reference68 articles.
1. Artstein R, Poesio M (2008) Inter-coder agreement for computational linguistics. Comput Linguist 34(4):555–596. https://doi.org/10.1162/coli.07-034-R2
2. Banerjee A, Chong L K, Ballabriga C, Roychoudhury A (2018) Energypatch: Repairing resource leaks to improve energy-efficiency of android apps. IEEE Trans Softw Eng 44(5):470–490. https://doi.org/10.1109/TSE.2017.2689012
3. Bond M D, McKinley K S (2006) Bell: Bit-encoding online memory leak detection. In: Proceedings of the 12th International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS XII, pp 61–72. https://doi.org/10.1145/1168857.1168866
4. Bond MD, McKinley KS (2008) Tolerating memory leaks. In: Proceedings of the 23rd ACM SIGPLAN Conference on Object-oriented Programming Systems Languages and Applications, OOPSLA ’08, pp 109–126. https://doi.org/10.1145/1449764.1449774
5. Bond M D, Mckinley KS (2009) Leak pruning. In: ACM Conference on architectural support for programming languages and operating systems (ASPLOS), ASPLOS XIV, pp 277–288. https://doi.org/10.1145/1508244.1508277
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