覆盖分析在基于ir的可追溯性恢复中的作用:一个受控实验

A. D. Lucia, R. Oliveto, G. Tortora
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引用次数: 14

摘要

本文提出了一个两步过程,旨在提高软件工程师在使用基于ir的可追溯性恢复工具时的跟踪性能。在第一步中,软件工程师在一组源工件和一组目标工件之间执行增量的粗粒度可跟踪性恢复。在这一步骤中,他/她追踪尽可能多的链接,尽量避免误报。在第二步中,他/她使用覆盖链接分析,旨在识别跟踪不良的源工件,并指导集中的细粒度可跟踪性恢复会话,以恢复第一步中遗漏的链接。在一个受控实验中取得的结果表明,与传统过程相比,所提出的方法显着增加了软件工程师跟踪的正确链接的数量。
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The role of the coverage analysis during IR-based traceability recovery: A controlled experiment
This paper presents a two-steps process aiming at improving the tracing performances of the software engineer when using an IR-based traceability recovery tool. In the first step the software engineer performs an incremental coarse-grained traceability recovery between a set of source artefacts and a set of target artefacts. During this step he/she traces as many links as possible keeping low the effort to discard false positives. In the second step he/she uses a coverage link analysis aiming at identifying source artefacts poorly traced and guiding focused fine-grained traceability recovery sessions to recover links missed in the first step. The results achieved in a reported controlled experiment demonstrate that the proposed approach significantly increases the amount of correct links traced by the software engineer with respect to a tradition process.
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