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Automatic Unsupervised Bug Report Categorization
2014
2014 6th International Workshop on Empirical Software Engineering in Practice
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In categorizing bug reports study, not many researches try using unsupervised learning approach. Clustering, one of unsupervised learning is mostly only used for bug triaging. ...
Experiment2: Categorizing bug reports in each project into Bug and Other Requests We evaluate performance in separating bug reports of the same project in this experiment. ...
doi:10.1109/iwesep.2014.8
dblp:conf/iwesep/LimsetthoHMM14
fatcat:zlyxf4y3iverpgxnicikvweuki
Unsupervised Bug Report Categorization Using Clustering and Labeling Algorithm
2016
International journal of software engineering and knowledge engineering
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Conclusion: Our framework can be used to automatically categorize the incoming bug reports without any prior knowledge, as an automated labeling suggestion system or as a tool for obtaining knowledge about ...
Method: Our framework categorizes bug reports according to their text similarity using topic modeling and a clustering algorithm. ...
In that paper, an almost fully automatic framework was proposed to categorize bug reports, according to their textual contents . ...
doi:10.1142/s0218194016500352
fatcat:5rwxiajifvempeituwsoxu6r6m
COMPARATIVE STUDY OF BUG REPORT SUMMARIZATION TECHNIQUES
2019
Indian Journal of Computer Science and Engineering
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Many researchers have done research on bug report summarization using various techniques like supervised approaches, unsupervised approaches, deep learning approach, feature-based approach. ...
Summarization is one application on bug reports which helps solve a lot of interesting issues of bug reports like bug triaging and bug duplicate detection. ...
Searching for an appropriate bug report is a challenging task. Automatic summarization of bug reports help search the relevant bug report quickly. ...
doi:10.21817/indjcse/2019/v10i6/191006041
fatcat:si2jeudqbrafpfcnxnkn2ch5ju
Automatic Keyword and Sentence based Text Summarization for Software Bug Reports
2020
IEEE Access
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INDEX TERMS Text summarization, rapid automatic keyword extraction, fuzzy c-means, hierarchical clustering, bug reports, rule engine. ...
The objective of the proposed, unsupervised approach is to summarize bug reports (software artefacts) with complete content and diversified information. ...
In literature, several supervised [19] - [21] and unsupervised [22] , [23] approaches have been proposed to summarize bug reports automatically. ...
doi:10.1109/access.2020.2985222
fatcat:vcfq6bpq25f3lnmu3x5akq765a
CaPBug -A Framework for Automatic Bug Categorization and Prioritization Using NLP and Machine Learning Algorithms
2021
IEEE Access
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automatic bug categorization. ...
BUG CATEGORIZATION Bug categorization is the process of automatically labeling bug reports with its relevant category. N. Limsettho et al. ...
doi:10.1109/access.2021.3069248
fatcat:beamjsygknhwlas43pnz53pzlq
DupFinder
2014
Proceedings of the 29th ACM/IEEE international conference on Automated software engineering - ASE '14
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In this paper, we propose a tool named DupFinder, which implements the state-of-theart unsupervised duplicate bug report approach by Runeson et al., as a Bugzilla extension. ...
Such bug reports are duplicate of each other and these duplicate bug reports need to be identified. ...
These techniques can be categorized into two families: unsupervised and supervised. Runeson et al. ...
doi:10.1145/2642937.2648627
dblp:conf/kbse/ThungKL14
fatcat:4upk44e4azgi7isj4kem6ybf5e
A Literature Review of Research in Bug Resolution: Tasks, Challenges and Future Directions
2015
Computer journal
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., bug report, source code and change history) in bug repositories to complete the bug resolution task. However, a mountain of submitted bug reports every day increase the developers' workload. ...
Our investigation concerns the most important phases in bug resolution, including bug understanding, bug triage and bug fixing. Moreover, we present the advantages and disadvantages of each study. ...
Note that [5, 6] utilized unsupervised approaches to automatically generate summaries of bug reports. ...
doi:10.1093/comjnl/bxv114
fatcat:r4t6kgzqi5cq7nlwuanednwkhq
Can Automated Program Repair Refine Fault Localization?
[article]
2019
arXiv
pre-print
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In this way,we not only open a new dimension for more powerful fault localization, but also extend the application scope of program repair to all possible bugs (not only the bugs that can be directly automatically ...
Lastly, we show that ProFL can further boost state-of-the-art fault localization via both unsupervised and supervised learning. ...
manual repair even for the bugs that are hard to fix automatically. ...
arXiv:1910.01270v1
fatcat:iuj4uouxkbgv7euj2tq3wrxuem
Summarization of Software Artifacts : A Review
2017
International Journal of Computer Science & Information Technology (IJCSIT)
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reports detection, traceability link recovery, etc. ...
of research among the software engineering community due to the benefits that summarization provides like saving of time and efforts in various software engineering tasks like code search, duplicate bug ...
[4] proposed unsupervised bug report summarization to facilitate the bug reports digestion. ...
doi:10.5121/ijcsit.2017.9512
fatcat:4unydg54tbh6ji7hstvixyfrsm
Mining Software Repositories for Defect Categorization
2015
Journal of Communications Software and Systems
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Categorizing bugs based on their characteristics helps the Software Development team take appropriate actions to reduce similar defects that might get reported in future releases. ...
Therefore, the need of automatic classification of software defect is high.This work attempts to categorize defects by proposing an algorithm called Software Defect CLustering (SDCL). ...
An approach to automatically identify the duplicate bug reports in the software bug repositories is proposed by Jalbert and Weimer [1] . ...
doi:10.24138/jcomss.v11i1.115
fatcat:wfoncxndxfafbjcvjr2v5tesy4
Does bug report summarization help in enhancing the accuracy of bug severity classification?
2020
Procedia Computer Science
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The programmer cannot write a program without any bug. A large numbers of bugs are deposited into the bug tracking system through bug reports. ...
A large numbers of bugs are deposited into the bug tracking system through bug reports. To find the root cause of a bug, a meaningful and huge conversation happens between the developer and reporter. ...
Proposed Model The problem of automatic bug report summarization is described as unsupervised algorithm whereas severity classification is illustrated as the supervised classification algorithm. ...
doi:10.1016/j.procs.2020.03.345
fatcat:5vrsfkjywnaf7l3uv2otuc26ne
Automatic clustering of bug reports
2018
International Journal of Advanced Computer Research
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This paper proposes an automated technique to identify related previous change requests stored in bug reports. The technique is based on clustering bug reports based on their textual similarities. ...
The result of the clustering is disjoint clusters of related bug reports that have common issues, topic or feature. ...
Textual information is automatically extracted and preprocessed from bug reports, automatically clustered, and tags are automatically extracted. ...
doi:10.19101/ijacr.2018.839013
fatcat:5idduf6iljgrljdus4ll44v5su
A Survey on Data Reduction Techniques of Bug Triage
2017
International Journal of Modern Trends in Engineering & Research
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Finally, relying on heavy-weight mechanisms to obtain provable redundant bug report. ...
We have to prevent redundant bug in the repository. We introduce novel alternative that provides significantly-improved bug report. ...
The technique generates tests automatically, runs the tests capturing logical constraints on inputs, and minimizes the conditions on the inputs to failing tests so that the resulting bug reports are small ...
doi:10.21884/ijmter.2017.4139.zi5uf
fatcat:ngbjsirmuja2jmmgg25ym5pfna
Harvesting Fix Hints in the History of Bugs
[article]
2015
arXiv
pre-print
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In our approach, once a bug is reported, it is automatically compared to all previously fixed bugs using information retrieval techniques and machine learning classification. ...
We build on the assumption that bugs, and the associated user bug reports, are repetitive and propose a new approach of fix recommendations based on the history of bugs and their associated fixes. ...
build SVM classifiers for categorizing new bug reports in those categories. ...
arXiv:1507.05742v1
fatcat:sjj3cb7sjffirjeaq2p26x5sqe
Early Detection of Security-Relevant Bug Reports using Machine Learning: How Far Are We?
[article]
2021
arXiv
pre-print
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Bug reports are common artefacts in software development. ...
To support practitioners in triaging bug reports, the research community has proposed a number of approaches for the detection of security-relevant bug reports. ...
Security-relevant bug reports can be categorized as Hidden Impact Bugs [5] : the bugs are often only identified as vulnerabilities long after they have been made public. ...
arXiv:2112.10123v1
fatcat:a622vvcrwrhnbh2b5ues6cirjq
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