利用集线器在bug报告重复检测中进行自适应二次重新排序

Proceedings of the ITI 2013 35th International Conference on Information Technology Interfaces Pub Date : 2013-10-31 DOI:10.2498/iti.2013.0488

Nenad Tomašev, Gregor Leban, D. Mladenić

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引用次数: 9

摘要

错误重复检测是许多错误跟踪系统的一个组成部分。大多数错误都会被报告多次，检测重复的错误可以节省时间和宝贵的资源。我们提出了一种新的方法来潜在的重复报告查询排序。我们的二次重新排序程序是自适应的，因为它从以前的报告事件中学习。它基于对潜在影响分布的时间演变的分析。实验表明，系统性能得到了明显改善。

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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Exploiting hubs for self-adaptive secondary re-ranking in bug report duplicate detection

Bug duplicate detection is an integral part of many bug tracking systems. Most bugs are reported multiple times and detecting the duplicates saves time and valuable resources. We propose a novel approach to potential duplicate report query ranking. Our secondary re-ranking procedure is self-adaptive, as it learns from previous report occurrences. It is based on the analysis of temporal evolution of the underlying distribution of influence. The experiments show definite improvements in system performance.

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Proceedings of the ITI 2013 35th International Conference on Information Technology Interfaces

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