research-article

A quantitative measure for preventive maintenance in software

Authors:

Bharath Cheluvaraju,

Anjaneyulu Pasala,

Srinivas Padmanabhuni,

Sadhana ChevireddyAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 37, Issue 4

Pages 1 - 5

https://doi.org/10.1145/2237796.2237801

Published: 16 July 2012 Publication History

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Abstract

Several techniques have been developed to identify and fix defects in software before its deployment. However, the challenge is to quantify how well these techniques prevent defects from occurring in the field from a holistic perspective. Therefore, we propose a novel software quality metric called "The Preventability Metric" that measures the preventability of defects in software. The metric is derived from a composite quantitative evaluation of the efficiency and effectiveness of the individual preventive techniques employed on software before its deployment. It provides a confidence on how well prevention of defects is handled before deployment.

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Cited By

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Ghrieb NMokhati FGhorab MGuerram T(2020)Towards a preventive maintenance approach for multi-agent applicationsMultiagent and Grid Systems10.3233/MGS-20032216:1(83-99)Online publication date: 9-Apr-2020
https://doi.org/10.3233/MGS-200322
Prateek SPasala AAracena L(2013)Evaluating Performance of Network Metrics for Bug Prediction in SoftwareProceedings of the 2013 20th Asia-Pacific Software Engineering Conference (APSEC) - Volume 0110.1109/APSEC.2013.27(124-131)Online publication date: 2-Dec-2013
https://dl.acm.org/doi/10.1109/APSEC.2013.27

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A quantitative measure for preventive maintenance in software

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Published In

cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 37, Issue 4

July 2012

182 pages

ISSN:0163-5948

DOI:10.1145/2237796

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 July 2012

Published in SIGSOFT Volume 37, Issue 4

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Ghrieb NMokhati FGhorab MGuerram T(2020)Towards a preventive maintenance approach for multi-agent applicationsMultiagent and Grid Systems10.3233/MGS-20032216:1(83-99)Online publication date: 9-Apr-2020
https://doi.org/10.3233/MGS-200322
Prateek SPasala AAracena L(2013)Evaluating Performance of Network Metrics for Bug Prediction in SoftwareProceedings of the 2013 20th Asia-Pacific Software Engineering Conference (APSEC) - Volume 0110.1109/APSEC.2013.27(124-131)Online publication date: 2-Dec-2013
https://dl.acm.org/doi/10.1109/APSEC.2013.27

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