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arXiv · 1807.02263

TextRank Based Search Term Identification for Software Change Tasks

Mohammad Masudur Rahman·Chanchal K. Roy
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Abstract

During maintenance, software developers deal with a number of software change requests. Each of those requests is generally written using natural language texts, and it involves one or more domain related concepts. A developer needs to map those concepts to exact source code locations within the project in order to implement the requested change. This mapping generally starts with a search within the project that requires one or more suitable search terms. Studies suggest that the developers often perform poorly in coming up with good search terms for a change task. In this paper, we propose and evaluate a novel TextRank-based technique that automatically identifies and suggests search terms for a software change task by analyzing its task description. Experiments with 349 change tasks from two subject systems and comparison with one of the latest and closely related state-of-the-art approaches show that our technique is highly promising in terms of suggestion accuracy, mean average precision and recall.

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Mohammad Masudur Rahman, Chanchal K. Roy. 2018-07-06. TextRank Based Search Term Identification for Software Change Tasks. https://doi.org/10.1109/saner.2015.7081873

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