Lune

FSE2023Top-tier venue

Mining Resource-Operation Knowledge to Support Resource Leak Detection

Chong Wang, Yiling Lou, Xin Peng, Jianan Liu, Baihan Zou

2023Year
7Citations
4Top-tier citations

Abstract

Resource leaks, which are caused by acquired resources not being released, often result in performance degradation and system crashes. Resource leak detection relies on two essential components: identifying potential Resource Acquisition and Release (RAR) API pairs, and subsequently analyze code to uncover instances where the corresponding release API call is absent after an acquisition API call. Yet, existing techniques confine themselves to an incomplete pair pool, either pre-defined manually or mined from project-specific code corpus, thus limiting coverage across libraries/APIs and po- tentially overlooking latent resource leaks.

Ask about this paper

Ask your agent about it.

Lune has read the top-tier papers around this one, so every answer names the papers it rests on.

Questions to start from

Your agent calls

Lunesearch_papers

Ask in Lune

Free to start. No credit card required.

lune papers get 78741981-ebb8-4616-b02a-06c878d1968b

Cited by top-tier papers4

Ask how each one uses it

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines