Towards more accurate retrieval of duplicate bug reports

Sun, Chengnian; Lo, David; Khoo, Siau‐Cheng; Jiang, Jing

doi:10.1109/ase.2011.6100061

Cited by 272 publications

(273 citation statements)

References 20 publications

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“…Sun, D. Lo, S. C. Khoo, and J. Jiang [7], in this paper author propose a retrieval function (REP) to identify such duplicates accurately between two bug reports. Proposed approach is twofold, first BM25F is an effective textual duplicates measure that is designed for short unstructured queries and seconds a new retrieval function REP fully utilizing text and other information available in reports such as product.…”

Section: Related Workmentioning

confidence: 99%

Survey on Bug Triage with Software Data Reduction Techniques

2015

IJSR

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Bug triage is an essential step in the process of bug fixing. Bug triage is the process of fixing bug whose main objective is to correctly allocate a developer to a new bug further handling. Many software companies spend their most of cost in dealing with these bugs. To decrease the time cost in manual work and to enhance the working of automatic bug triage, two techniques are applied namely text classification and binary classification. In literature various papers address the problem of data reduction for bug triage, i.e., how to reduce the scale and improve the quality of bug data. By combining the instance selection and the feature selection algorithms to simultaneously reduce the data scale and enhance the accuracy of the bug reports in the bug triage. This survey focused on various data reduction technique for bug triage. As per literature, need to develop a effective model for doing data reduction on bug data set which will reduce the scale of the data as well as increase the quality of the data., by reducing the time and cost.

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Section: Related Workmentioning

confidence: 99%

Survey on Bug Triage with Software Data Reduction Techniques

2015

IJSR

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“…In Panichella et al Panichella et al (2016) they found many of their optimal configurations used the TF-IDF vector space model (VSM) and cosine distance. Much like TF-IDF and cosine distance, Sun et al Sun et al (2011) exploited BM25 and BM25F for query result scoring and ranking.…”

Section: Information Retrievalmentioning

confidence: 99%

“…Bug report deduplication is the querying of similar bug reports in order to cluster and group bug reports that report the same issue. Common tools in bug report deduplication are NLP Runeson et al (2007), machine-learning Bettenburg et al (2008); Sun et al (2010); ; Lazar et al (2014), information retrieval Sun et al (2011);Sureka and Jalote (2010), topic analysis Alipour (2013); ; Klein et al (2014). Zhang et al Zhang et al (2015) have applied typical bug-deduplication technology to StackOverflow duplicate question detection.…”

Section: Bug Report Deduplicationmentioning

confidence: 99%

“…We used TF-IDF with cosine distance in this work, where as other bug deduplication works have used BM25 and BM25F Sun et al (2011Sun et al ( , 2010.…”

Section: Future Workmentioning

confidence: 99%

“…The software systems that were mined range from cloud management systems, to mobile operating systems, to office suites. The projects were chosen because prior work used them (Android, Eclipse, Mozilla, and OpenOffice Aggarwal et al (2015); ; Sun et al (2011Sun et al ( , 2010) and due to availability of tools to mine their repositories. We also explicitly selected repositories with more than 50 duplicate bug pairs that were not used in prior duplicate bug report detection works.…”

Section: Datasetsmentioning

confidence: 99%

See 2 more Smart Citations

Stopping duplicate bug reports before they start with Continuous Querying for bug reports

Hindle

2016

Preprint

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Bug deduplication is a hot topic in software engineering information retrieval research, but it is often not deployed. Typically to de-duplicate bug reports developers rely upon the search capabilities of the bug report software they employ, such as Bugzilla, Jira, or Github Issues. These search capabilities range from simple SQL string search to IR-based word indexing methods employed by search engines. Yet too often these searches do very little to stop the creation of duplicate bug reports. Some bug trackers have more than 10% of their bug reports marked as duplicate. Perhaps these bug tracker search engines are not enough? In this paper we propose a method of attempting to prevent duplicate bug reports before they start: continuous querying. That is as the bug reporter types in their bug report their text is used to query the bug database to find duplicate or related bug reports. This continuous querying allows the reporter to be alerted to duplicate bug reports as they report the bug, rather than formulating queries to find the duplicate bug report. Thus this work ushers in a new way of evaluating bug report deduplication techniques, as well as a new kind of bug deduplication task. We show that simple IR measures show some promise for addressing this problem but also that further research is needed to refine this novel process that is integrate-able into modern bug report systems.

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Challenges and opportunities for software change request repositories: a systematic mapping study

Cavalcanti

Neto

Machado

et al. 2013

J Software Evolu Process

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Software maintenance starts as soon as the first artifacts are delivered and is essential for the success of the software. However, keeping maintenance activities and their related artifacts on track comes at a high cost. In this respect, change request (CR) repositories are fundamental in software maintenance. They facilitate the management of CRs and are also the central point to coordinate activities and communication among stakeholders. However, the benefits of CR repositories do not come without issues, and commonly occurring ones should be dealt with, such as the following: duplicate CRs, the large number of CRs to assign, or poorly described CRs. Such issues have led researchers to an increased interest in investigating CR repositories, by considering different aspects of software development and CR management. In this paper, we performed a systematic mapping study to characterize this research field. We analyzed 142 studies, which we classified in two ways. First, we classified the studies into different topics and grouped them into two dimensions: challenges and opportunities. Second, the challenge topics were classified in accordance with an existing taxonomy for information retrieval models. In addition, we investigated tools and services for CR management, to understand whether and how they addressed the topics identified.

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Towards more accurate retrieval of duplicate bug reports

Cited by 272 publications

References 20 publications

Survey on Bug Triage with Software Data Reduction Techniques

Survey on Bug Triage with Software Data Reduction Techniques

Stopping duplicate bug reports before they start with Continuous Querying for bug reports

Challenges and opportunities for software change request repositories: a systematic mapping study

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