不可复制bug中开发人员的特征研究

Anjali Goyal, Neetu Sardana
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引用次数: 4

摘要

软件bug是不可避免的。软件系统的规模和复杂性的增加使得错误处理成为一项繁琐且耗时的任务。在这种情况下,不可重现(NR) bug报告是软件开发人员的额外开销,因为这些bug很难重现。重现NR bug的困难是由于各种原因造成的,比如缺乏创建相同测试环境所需的信息、资源和时间限制、被指派的开发人员无法修复问题等等。然而,当NR标记的bug报告被重新考虑时,这些bug报告中的一小部分得到了修复(NRF)。这种固定的发生,要么是由于尝试新的解决方案来重现错误,要么是由于为错误报告指派了不同的开发人员。为了发现开发者的改变是否有助于解决NR bug,本文调查了与NR bug报告相关的开发者。我们衡量了开发者的相似性(根据开发者将bug报告标记为NR和Fix)、趋势、isBack的存在以及将NRF bug报告标记为NR和Fix的开发者的专业水平。我们研究了Mozilla Firefox项目24,995个NR bug报告的变更历史。我们的研究结果表明,87.34%的NRF bug报告是由最初没有将bug报告标记为NR的开发人员修复的。此外,我们发现NRF bug报告中的平均投掷路径长度是NR bug报告中的投掷路径长度的三倍。更高的bug抛掷率导致更高的NR bug报告固定概率。我们还观察到,修复NR bug的开发人员比将bug报告标记为NR的开发人员拥有更高的专业知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization Study of Developers in Non-Reproducible Bugs
Software bugs are inevitable. Increasing size and complexity of software systems makes bug handling a cumbersome and time-consuming task. In such scenarios, Non-Reproducible (NR) bug reports are an additional overhead for software developers as these bugs are hard-to-reproduce. This difficulty in reproducing NR bugs is due to varied reasons such as the absence of information required to create the same test environment, resource and time constraints, inability of the assigned developer to fix the issue, etc. However, when NR marked bug reports are reconsidered, a few percentages of these bug reports get Fixed (NRF). This fixation occurs either due to the trial of new solutions to reproduce the bug or due to the assignment of a different developer for the bug report. To find whether a change in developer helps in resolving NR bugs, this paper investigates the developers associated with NR bug reports. We gauged developer similarity (in terms of developer marking bug report as NR and Fix), tossing trends, presence of isBack and expertise level of developers who marked NRF bug reports as NR and Fix. We studied the change history of 24, 995 NR bug reports of Mozilla Firefox project. Our results show that 87.34% NRF bug reports are fixed by a developer who had not marked the bug report initially as NR. Also, we found that average tossing path length in NRF bug reports is three times higher than tossing path length in NR bug reports. This higher rate of bug tossing results in higher fixation probability of NR bug reports. It has also been observed that developers who fix NR bugs possess higher expertise than developers who marks bug reports as NR.
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