文章基本信息

标题：QUALITY-DRIVEN FEATURE IDENTIFICATION AND DOCUMENTATION FROM SOURCE CODE
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作者：HAMZEH EYAL SALMAN ; ABDELHAK-DJAMEL SERIAI ; Mustafa Hammad 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：84
期号：2
出版社：Journal of Theoretical and Applied
摘要：Software companies develop a large number of software products cater to the needs of customers in different domains. Each product offers a set of features to serve customers in a particular domain. Over the time, the product features (resp. their implementations) should be improved, changed or removed to meet new demands of customers. Identifying source code elements that implements each feature plays a pivot role in such software maintenance tasks. In this article, we present an approach to support effective feature identification and documentation from source code. The novelty of our approach is that we identify each feature implementation based on a semantic-correctness model that can achieve satisfactory results according to well-known evaluation metrics on the subject. We have implemented our approach and conducted evaluation with a large case study. Our evaluation showed that our approach always achieves promising results.
关键词：Feature Identification; Feature Location; Feature Documentation; Source Code; Reuse; Re-engineering; Quality; Clustering