对可视化调试工具的有效性和效率进行了实证评估

Fabio Pereira da Silva, H. A. D. Souza, M. Chaim
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引用次数: 1

摘要

调试是在程序中定位和修复缺陷的任务。基于频谱的故障定位(SFL)由于其相对较低的执行成本,是一种很有前途的调试技术。SFL通过对更可能包含错误的行、方法、类和包进行排序来确定最可疑的程序元素。我们比较了两种使用不同隐喻的SFL工具。Jaguar使用文本隐喻,而CodeForest使用三维隐喻。本文介绍了对76名学生使用这两种工具进行评估的结果。评估了它们在故障定位过程中的有效性和效率。通过工具将开发人员引导到错误方法或线路的能力以及定位错误所花费的时间,分别评估了有效性和效率。结果表明,Jaguar比CodeForest更有效。然而,这两种工具在效率上并没有区别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An empirical assessment of visual debugging tools effectiveness and efficiency
Debugging is the task of locating and fixing defects in a program. Spectrum-Based Fault Localization (SFL) is a promising debugging technique due to it is relative low execution cost. SFL pinpoints the most suspicious program elements by ranking lines, methods, classes and packages more likely to contain faults. We compare two SFL tools that utilize different metaphors. Jaguar uses a textual metaphor while CodeForest a three-dimensional one. The results of an evaluation with 76 students using both tools are presented. They were assessed regarding to the effectiveness and efficiency during fault localization. The effectiveness and efficiency were assessed, respectively, by the tool’s ability to direct the developer to the faulty method or line and the time spent to locate them. The results show that Jaguar is more effective than CodeForest. However, there is not difference between the tools for efficiency.
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