Information retrieval models for recovering traceability links between code and documentation

G. Antoniol, G. Canfora, G. Casazza, A. D. Lucia
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引用次数: 188

Abstract

The research described in the paper is concerned with the application of information retrieval to software maintenance, and in particular to the problem of recovering traceability links between the source code of a system and its free text documentation. We introduce a method based on the general idea of vector space information retrieval and apply it in two case studies to trace C++ source code onto manual pages and Java code onto functional requirements. The case studies discussed in the paper replicate the studies presented by G. Antoniol et al. (1999; 2000), respectively where a probabilistic information retrieval model was applied. We compare the results of vector space and probabilistic models and formulate hypotheses to explain the differences.
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用于恢复代码和文档之间的可追溯性链接的信息检索模型
本文所描述的研究是关于信息检索在软件维护中的应用,特别是恢复系统源代码与其自由文本文档之间的可追溯性链接的问题。我们介绍了一种基于向量空间信息检索的一般思想的方法,并在两个案例研究中应用它来跟踪c++源代码到手册页和Java代码到功能需求。本文讨论的案例研究重复了G. Antoniol等人(1999;2000),其中应用了概率信息检索模型。我们比较向量空间和概率模型的结果,并提出假设来解释差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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