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Pregled bibliografske jedinice broj: 557800

Detecting Bug Duplicate Reports through Local References


Prifti, Tomi; Banerjee, Sean; Čukić, Bojan
Detecting Bug Duplicate Reports through Local References // Proceedings of the 7th International Conference on Predictive Models in Software Engineering / Menzies, Tim (ur.).
New York (NY): The Association for Computing Machinery (ACM), 2011. str. 1-8 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), ostalo)


CROSBI ID: 557800 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Detecting Bug Duplicate Reports through Local References

Autori
Prifti, Tomi ; Banerjee, Sean ; Čukić, Bojan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), ostalo

Izvornik
Proceedings of the 7th International Conference on Predictive Models in Software Engineering / Menzies, Tim - New York (NY) : The Association for Computing Machinery (ACM), 2011, 1-8

ISBN
978-1-4503-0709-3

Skup
7th ACM International Conference on Predictive Models in Software Engineering

Mjesto i datum
Banff, Kanada, 20.09.2011. - 21.09.2011

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
duplicate bug reports; bug tacking systems; software quality; software maintenance

Sažetak
Background: Bug Tracking Repositories, such as Bugzilla, are designed to support fault reporting for developers, testers and users of the system. Allowing anyone to contribute finding and reporting faults has an immediate impact on software quality. However, this benefit comes with at least one side-effect. Users often file reports that describe the same fault. This increases the maintainer’s triage time, but important information required to fix the fault is likely contributed by different reports. Aim: The objective of this paper is twofold. First, we want to understand the dynamics of bug report filing for a large, long duration open source project, Firefox. Second, we present a new approach that can reduce the number of duplicate reports. Method: The novel element in the proposed approach is the ability to concentrate the search for duplicates on specific portions of the bug repository. Our system can be deployed as a search tool to help reporters query the repository. Results: When tested as a search tool our system is able to detect up to 53% of duplicate reports. Conclusion: The performance of Information Retrieval techniques can be significantly improved by guiding the search for duplicates. This approach results in higher detection rates and constant classification runtime.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
165-0362980-2002 - Postupci raspoređivanja u samoodrživim raspodijeljenim računalnim sustavima (Martinović, Goran, MZO ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Bojan Čukić (autor)


Citiraj ovu publikaciju:

Prifti, Tomi; Banerjee, Sean; Čukić, Bojan
Detecting Bug Duplicate Reports through Local References // Proceedings of the 7th International Conference on Predictive Models in Software Engineering / Menzies, Tim (ur.).
New York (NY): The Association for Computing Machinery (ACM), 2011. str. 1-8 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), ostalo)
Prifti, T., Banerjee, S. & Čukić, B. (2011) Detecting Bug Duplicate Reports through Local References. U: Menzies, T. (ur.)Proceedings of the 7th International Conference on Predictive Models in Software Engineering.
@article{article, author = {Prifti, Tomi and Banerjee, Sean and \v{C}uki\'{c}, Bojan}, editor = {Menzies, T.}, year = {2011}, pages = {1-8}, keywords = {duplicate bug reports, bug tacking systems, software quality, software maintenance}, isbn = {978-1-4503-0709-3}, title = {Detecting Bug Duplicate Reports through Local References}, keyword = {duplicate bug reports, bug tacking systems, software quality, software maintenance}, publisher = {The Association for Computing Machinery (ACM)}, publisherplace = {Banff, Kanada} }
@article{article, author = {Prifti, Tomi and Banerjee, Sean and \v{C}uki\'{c}, Bojan}, editor = {Menzies, T.}, year = {2011}, pages = {1-8}, keywords = {duplicate bug reports, bug tacking systems, software quality, software maintenance}, isbn = {978-1-4503-0709-3}, title = {Detecting Bug Duplicate Reports through Local References}, keyword = {duplicate bug reports, bug tacking systems, software quality, software maintenance}, publisher = {The Association for Computing Machinery (ACM)}, publisherplace = {Banff, Kanada} }




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