CQE: An approach to automatically estimate the code quality using an objective metric from an empirical study

Saima Arif; Miao Wang; Philip Perry; John Murphy

CQE: An approach to automatically estimate the code quality using an objective metric from an empirical study

Saima Arif, Miao Wang, Philip Perry, John Murphy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Bugs in a project, at any stage of Software life cycle development are costly and difficult to find and fix. Moreover, the later a bug is found, the more expensive it is to fix. There are static analysis tools to ease the process of finding bugs, but their results are not easy to filter out critical errors and is time consuming to analyze. To solve this problem we used two steps: first to enhance the bugs severity and second is to estimate the code quality, by Weighted Error Code Density metric. Our experiment on 10 widely used open-source Java applications automatically shows their code quality estimated using our objective metric. We also enhance the error ranking of FindBugs, and provide a clear view on the critical errors to fix as well as low priority ones to potentially ignore.

Original language	English
Title of host publication	ICSOFT 2013 - Proceedings of the 8th International Joint Conference on Software Technologies
Pages	198-205
Number of pages	8
Publication status	Published (in print/issue) - 11 Nov 2013
Event	8th International Joint conference on Software Technologies, ICSOFT 2013 - Reykjavik, Iceland Duration: 29 Jul 2013 → 31 Jul 2013

Conference

Conference	8th International Joint conference on Software Technologies, ICSOFT 2013
Country/Territory	Iceland
City	Reykjavik
Period	29/07/13 → 31/07/13

Keywords

Code quality
Process metrics
Static analysis

Cite this

@inproceedings{032c604160084b6185e9b33cd3c2012c,

title = "CQE: An approach to automatically estimate the code quality using an objective metric from an empirical study",

abstract = "Bugs in a project, at any stage of Software life cycle development are costly and difficult to find and fix. Moreover, the later a bug is found, the more expensive it is to fix. There are static analysis tools to ease the process of finding bugs, but their results are not easy to filter out critical errors and is time consuming to analyze. To solve this problem we used two steps: first to enhance the bugs severity and second is to estimate the code quality, by Weighted Error Code Density metric. Our experiment on 10 widely used open-source Java applications automatically shows their code quality estimated using our objective metric. We also enhance the error ranking of FindBugs, and provide a clear view on the critical errors to fix as well as low priority ones to potentially ignore.",

keywords = "Code quality, Process metrics, Static analysis",

author = "Saima Arif and Miao Wang and Philip Perry and John Murphy",

year = "2013",

month = nov,

day = "11",

language = "English",

isbn = "9789898565686",

pages = "198--205",

booktitle = "ICSOFT 2013 - Proceedings of the 8th International Joint Conference on Software Technologies",

note = "8th International Joint conference on Software Technologies, ICSOFT 2013 ; Conference date: 29-07-2013 Through 31-07-2013",

}

CQE: An approach to automatically estimate the code quality using an objective metric from an empirical study. / Arif, Saima; Wang, Miao; Perry, Philip et al.
ICSOFT 2013 - Proceedings of the 8th International Joint Conference on Software Technologies. 2013. p. 198-205.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Arif, Saima

AU - Wang, Miao

AU - Perry, Philip

AU - Murphy, John

PY - 2013/11/11

Y1 - 2013/11/11

N2 - Bugs in a project, at any stage of Software life cycle development are costly and difficult to find and fix. Moreover, the later a bug is found, the more expensive it is to fix. There are static analysis tools to ease the process of finding bugs, but their results are not easy to filter out critical errors and is time consuming to analyze. To solve this problem we used two steps: first to enhance the bugs severity and second is to estimate the code quality, by Weighted Error Code Density metric. Our experiment on 10 widely used open-source Java applications automatically shows their code quality estimated using our objective metric. We also enhance the error ranking of FindBugs, and provide a clear view on the critical errors to fix as well as low priority ones to potentially ignore.

AB - Bugs in a project, at any stage of Software life cycle development are costly and difficult to find and fix. Moreover, the later a bug is found, the more expensive it is to fix. There are static analysis tools to ease the process of finding bugs, but their results are not easy to filter out critical errors and is time consuming to analyze. To solve this problem we used two steps: first to enhance the bugs severity and second is to estimate the code quality, by Weighted Error Code Density metric. Our experiment on 10 widely used open-source Java applications automatically shows their code quality estimated using our objective metric. We also enhance the error ranking of FindBugs, and provide a clear view on the critical errors to fix as well as low priority ones to potentially ignore.

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KW - Process metrics

KW - Static analysis

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AN - SCOPUS:84887052522

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BT - ICSOFT 2013 - Proceedings of the 8th International Joint Conference on Software Technologies

Y2 - 29 July 2013 through 31 July 2013

ER -

CQE: An approach to automatically estimate the code quality using an objective metric from an empirical study

Abstract

Conference

Keywords

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