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Author/Affiliation: Celia ChenOpen AccessArticle
14 Pages, 606 KB 
A Large Empirical Study on Automatically Classifying Software Maintainability Concerns from Issue Summaries
Abstract:
Software maintenance contributes the majority of software system life cycle costs. However, existing approaches with automated code analysis are limited by accuracy and scope. Using human-assessed methods or implementing quality standards are more comprehensive alternatives, but they are much more costly for smaller organizations, especially in open- source software projects. Instead, bugs are generally used…
Read More(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Information Systems in Computer Science (CIS))