Query quality prediction and reformulation for source code search: The Refoqus tool

S. Haiduc, G. D. Rosa, G. Bavota, R. Oliveto, A. D. Lucia, Andrian Marcus
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引用次数: 21

Abstract

Developers search source code frequently during their daily tasks, to find pieces of code to reuse, to find where to implement changes, etc. Code search based on text retrieval (TR) techniques has been widely used in the software engineering community during the past decade. The accuracy of the TR-based search results depends largely on the quality of the query used. We introduce Refoqus, an Eclipse plugin which is able to automatically detect the quality of a text retrieval query and to propose reformulations for it, when needed, in order to improve the results of TR-based code search. A video of Refoqus is found online at http://www.youtube.com/watch?v=UQlWGiauyk4.
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源代码搜索的查询质量预测和重构:Refoqus工具
开发人员在日常任务中经常搜索源代码,以找到要重用的代码片段,找到在哪里实现更改,等等。近十年来,基于文本检索(TR)技术的代码搜索在软件工程界得到了广泛的应用。基于tr的搜索结果的准确性在很大程度上取决于所使用查询的质量。我们介绍Refoqus,这是一个Eclipse插件,它能够自动检测文本检索查询的质量,并在需要时为它提出重新表述,以改善基于tr的代码搜索的结果。Refoqus的视频可以在http://www.youtube.com/watch?v=UQlWGiauyk4上找到。
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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