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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2014 Vol.2(1): 110-115 ISSN: 2301-3559
DOI: 10.7763/LNSE.2014.V2.105

A Study of Compliance Based on Fault Analysis for Improving Reliability of Maintenance

Jang-Seop Song and Sung-Yul Rhew
Abstract—The quality management of software is very important. Especially, the cost of loss due to software defect is greatly huge. Based on the collection and analysis of defects as a measure of minimizing software defects, this study proposes creating defect classification and compliance regarding defect classification at the time of maintenance according to the defect classification. Software defects were collected by the defect classification, and the collected defect information was analyzed with symptom analysis, location analysis, cause analysis, and stage analysis. Defect compliance writes compliance details into the items of five classifications when maintaining and modifying programs with frequent errors. As a result of applying it to the defect tracking system of W Company in order to verify the efficiency of the method that this study suggested, defects decreased approximately 29%.

Index Terms—Software, maintenance, defect tracking, fault analysis, quality assurance, compliance.

Jang-Seop Song is with the Computer Science from Soongsil University, Seoul, Korea (e-mail: shoushou410@gmail.com).


Cite: Jang-Seop Song and Sung-Yul Rhew, "A Study of Compliance Based on Fault Analysis for Improving Reliability of Maintenance," Lecture Notes on Software Engineering vol. 2, no. 1, pp. 110-115, 2014.

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