Volume 15 Number 1 (Jan. 2020)
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JSW 2020 Vol.15(1): 23-29 ISSN: 1796-217X
doi: 10.17706/jsw.15.1.23-29

An Automated Approach to Assessing Code Quality via Bug Reports

Yuexiao Teng*
East China University of Science and Technology, Shanghai, China.

AbstractMining Software Repositories (MSR) can serve various purposes such as analyzing code coverage, predicting code changes. One of software repositories is bug repositories. However, bug repositories, i.e. bug reports, has not been made full use of due to that many researchers or practitioners lay little emphasis on mining bug reports. It is because they may not be aware of its value or practical meaning. In order to take advantage of bug reports, in the paper, an original approach has been put forward to assessing code quality or at least estimating the status of software by mining bug reports, which is automated. The results of experiments show the effectiveness of this novel approach. To author’s best knowledge, it was the first time to make such full use of mining bug reports in an automated way.

Index Terms— Data mining, mining software Repositories (MSR), bug reports, code quality.

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Cite: Yuexiao Teng, "An Automated Approach to Assessing Code Quality via Bug Reports," Journal of Software vol. 15, no. 1, pp. 23-29, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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