Standard
Inferring Performance Bug Patterns from Developer Commits. /
Chen, Yiqun; Winter, Stefan
; Suri, Neeraj.
Proceedings - 2019 IEEE 30th International Symposium on Software Reliability Engineering, ISSRE 2019. ed. / Katinka Wolter; Ina Schieferdecker; Barbara Gallina; Michel Cukier; Roberto Natella; Naghmeh Ivaki; Nuno Laranjeiro. IEEE Computer Society Press, 2019. p. 70-81 8987574 (Proceedings - International Symposium on Software Reliability Engineering, ISSRE; Vol. 2019-October).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Chen, Y, Winter, S
& Suri, N 2019,
Inferring Performance Bug Patterns from Developer Commits. in K Wolter, I Schieferdecker, B Gallina, M Cukier, R Natella, N Ivaki & N Laranjeiro (eds),
Proceedings - 2019 IEEE 30th International Symposium on Software Reliability Engineering, ISSRE 2019., 8987574, Proceedings - International Symposium on Software Reliability Engineering, ISSRE, vol. 2019-October, IEEE Computer Society Press, pp. 70-81, 30th IEEE International Symposium on Software Reliability Engineering, ISSRE 2019, Berlin, Germany,
28/10/19.
https://doi.org/10.1109/ISSRE.2019.00017
APA
Chen, Y., Winter, S.
, & Suri, N. (2019).
Inferring Performance Bug Patterns from Developer Commits. In K. Wolter, I. Schieferdecker, B. Gallina, M. Cukier, R. Natella, N. Ivaki, & N. Laranjeiro (Eds.),
Proceedings - 2019 IEEE 30th International Symposium on Software Reliability Engineering, ISSRE 2019 (pp. 70-81). Article 8987574 (Proceedings - International Symposium on Software Reliability Engineering, ISSRE; Vol. 2019-October). IEEE Computer Society Press.
https://doi.org/10.1109/ISSRE.2019.00017
Vancouver
Chen Y, Winter S
, Suri N.
Inferring Performance Bug Patterns from Developer Commits. In Wolter K, Schieferdecker I, Gallina B, Cukier M, Natella R, Ivaki N, Laranjeiro N, editors, Proceedings - 2019 IEEE 30th International Symposium on Software Reliability Engineering, ISSRE 2019. IEEE Computer Society Press. 2019. p. 70-81. 8987574. (Proceedings - International Symposium on Software Reliability Engineering, ISSRE). doi: 10.1109/ISSRE.2019.00017
Author
Chen, Yiqun ; Winter, Stefan
; Suri, Neeraj. /
Inferring Performance Bug Patterns from Developer Commits. Proceedings - 2019 IEEE 30th International Symposium on Software Reliability Engineering, ISSRE 2019. editor / Katinka Wolter ; Ina Schieferdecker ; Barbara Gallina ; Michel Cukier ; Roberto Natella ; Naghmeh Ivaki ; Nuno Laranjeiro. IEEE Computer Society Press, 2019. pp. 70-81 (Proceedings - International Symposium on Software Reliability Engineering, ISSRE).
Bibtex
@inproceedings{246f4309d1e4432fb504c559d8c22950,
title = "Inferring Performance Bug Patterns from Developer Commits",
abstract = "Performance bugs, i.e., program source code that is unnecessarily inefficient, have received significant attention by the research community in recent years. A number of empirical studies have investigated how these bugs differ from 'ordinary' bugs that cause functional deviations and several approaches to aid their detection, localization, and removal have been proposed. Many of these approaches focus on certain subclasses of performance bugs, e.g., those resulting from redundant computations or unnecessary synchronization, and the evaluation of their effectiveness is usually limited to a small number of known instances of these bugs. To provide researchers working on performance bug detection and localization techniques with a larger corpus of performance bugs to evaluate against, we conduct a study of more than 700 performance bug fixing commits across 13 popular open source projects written in C and C++ and investigate the relative frequency of bug types as well as their complexity. Our results show that many of these fixes follow a small set of bug patterns, that they are contributed by experienced developers, and that the number of lines needed to fix performance bugs is highly project dependent.",
keywords = "Performance, Software Engineering, Testing",
author = "Yiqun Chen and Stefan Winter and Neeraj Suri",
year = "2019",
month = jul,
day = "17",
doi = "10.1109/ISSRE.2019.00017",
language = "English",
series = "Proceedings - International Symposium on Software Reliability Engineering, ISSRE",
publisher = "IEEE Computer Society Press",
pages = "70--81",
editor = "Katinka Wolter and Ina Schieferdecker and Barbara Gallina and Michel Cukier and Roberto Natella and Naghmeh Ivaki and Nuno Laranjeiro",
booktitle = "Proceedings - 2019 IEEE 30th International Symposium on Software Reliability Engineering, ISSRE 2019",
note = "30th IEEE International Symposium on Software Reliability Engineering, ISSRE 2019 ; Conference date: 28-10-2019 Through 31-10-2019",
}
RIS
TY - GEN
T1 - Inferring Performance Bug Patterns from Developer Commits
AU - Chen, Yiqun
AU - Winter, Stefan
AU - Suri, Neeraj
PY - 2019/7/17
Y1 - 2019/7/17
N2 - Performance bugs, i.e., program source code that is unnecessarily inefficient, have received significant attention by the research community in recent years. A number of empirical studies have investigated how these bugs differ from 'ordinary' bugs that cause functional deviations and several approaches to aid their detection, localization, and removal have been proposed. Many of these approaches focus on certain subclasses of performance bugs, e.g., those resulting from redundant computations or unnecessary synchronization, and the evaluation of their effectiveness is usually limited to a small number of known instances of these bugs. To provide researchers working on performance bug detection and localization techniques with a larger corpus of performance bugs to evaluate against, we conduct a study of more than 700 performance bug fixing commits across 13 popular open source projects written in C and C++ and investigate the relative frequency of bug types as well as their complexity. Our results show that many of these fixes follow a small set of bug patterns, that they are contributed by experienced developers, and that the number of lines needed to fix performance bugs is highly project dependent.
AB - Performance bugs, i.e., program source code that is unnecessarily inefficient, have received significant attention by the research community in recent years. A number of empirical studies have investigated how these bugs differ from 'ordinary' bugs that cause functional deviations and several approaches to aid their detection, localization, and removal have been proposed. Many of these approaches focus on certain subclasses of performance bugs, e.g., those resulting from redundant computations or unnecessary synchronization, and the evaluation of their effectiveness is usually limited to a small number of known instances of these bugs. To provide researchers working on performance bug detection and localization techniques with a larger corpus of performance bugs to evaluate against, we conduct a study of more than 700 performance bug fixing commits across 13 popular open source projects written in C and C++ and investigate the relative frequency of bug types as well as their complexity. Our results show that many of these fixes follow a small set of bug patterns, that they are contributed by experienced developers, and that the number of lines needed to fix performance bugs is highly project dependent.
KW - Performance
KW - Software Engineering
KW - Testing
U2 - 10.1109/ISSRE.2019.00017
DO - 10.1109/ISSRE.2019.00017
M3 - Conference contribution/Paper
AN - SCOPUS:85081101902
T3 - Proceedings - International Symposium on Software Reliability Engineering, ISSRE
SP - 70
EP - 81
BT - Proceedings - 2019 IEEE 30th International Symposium on Software Reliability Engineering, ISSRE 2019
A2 - Wolter, Katinka
A2 - Schieferdecker, Ina
A2 - Gallina, Barbara
A2 - Cukier, Michel
A2 - Natella, Roberto
A2 - Ivaki, Naghmeh
A2 - Laranjeiro, Nuno
PB - IEEE Computer Society Press
T2 - 30th IEEE International Symposium on Software Reliability Engineering, ISSRE 2019
Y2 - 28 October 2019 through 31 October 2019
ER -
