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A Large Empirical Study on Automatically Classifying Software Maintainability Concerns from Issue Summaries

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 2, Page # 161–174, 2021; DOI: 10.25046/aj060219
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…

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(This article belongs to the Special Issue on Multidisciplinary Sciences and Engineering 2020-21 & Section Information Systems in Computer Science (CIS))

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