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Cited by 304

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Understanding and detecting real-world performance bugs

Jin, Guoliang, Song, Linhai, Shi, Xiaoming, Scherpelz, Joel, Lu, Shan·2012·Proceedings of the 33rd ACM SIGPLAN Conference on Programming Language Design and Implementation

Abstract

Developers frequently use inefficient code sequences that could be fixed by simple patches. These inefficient code sequences can cause significant performance degradation and resource waste, referred to as performance bugs. Meager increases in single threaded performance in the multi-core era and increasing emphasis on energy efficiency call for more effort in tackling performance bugs.

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Metadata

Authors
Jin, G., Song, L., Shi, X., Scherpelz, J., & Lu, S.
Venue
Proceedings of the 33rd ACM SIGPLAN Conference on Programming Language Design and Implementation
Publisher
ACM
Published
2012-06-11
Pages
77-88
ISSN
1531-7102 (ISSN-L)
OpenAlex
W2145458045
Cited by
304
References
35
FWCI
21.82
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Understanding and detecting real-world performance bugs. https://app.cochat.ai/papers/10.1145/2254064.2254075
The paper
Jin, G., Song, L., Shi, X., Scherpelz, J., & Lu, S. (2012). Understanding and detecting real-world performance bugs. Proceedings of the 33rd ACM SIGPLAN Conference on Programming Language Design and Implementation. https://doi.org/10.1145/2254064.2254075

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.