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A Study of Compliance Based on Fault Analysis for Improving Reliability of Maintenance
Author(s) -
Jang-Seop Song,
Sung-Yul Rhew
Publication year - 2013
Publication title -
lecture notes on software engineering
Language(s) - English
Resource type - Journals
ISSN - 2301-3559
DOI - 10.7763/lnse.2014.v2.105
Subject(s) - reliability engineering , compliance (psychology) , reliability (semiconductor) , computer science , engineering , psychology , social psychology , power (physics) , physics , quantum mechanics
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%.

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