Analyzing Corrective Maintenance using Change Coupled Clusters at Fix-inducing Changes

Due to changing nature of change coupled relation, corrective maintenance of any software system is costly. Existing works on change coupled relation analyzed different areas like change prediction or impact. But, none of those tried to utilize historical information to analyze system maintenance. I...

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Bibliographic Details
Published in2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) pp. 1 - 6
Main Authors Sadiq, Ali Zafar, Kabir, Ahmedul, Akash, Pritom Saha, Ibna Mostafa, Md. Jubair
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2019
Subjects
Bug inducing change
Computer bugs
Couplings
History
Java
LDA
Maintenance engineering
Microsoft Windows
Software Change
Software coupling
Software Maintenance
Software Quality Assurance
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Summary:Due to changing nature of change coupled relation, corrective maintenance of any software system is costly. Existing works on change coupled relation analyzed different areas like change prediction or impact. But, none of those tried to utilize historical information to analyze system maintenance. In this paper, a methodology is proposed by using change coupled relations at fix introducing changes to analyze the corrective maintenance history of the system. This analysis helps to understand which part of the system are prone to erroneous changes.
DOI:10.1109/ECACE.2019.8679503