bjEnet: a fast and accurate software bug localization method in natural language semantic space

IF 1.7 3区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Software Quality Journal Pub Date : 2024-07-22 DOI:10.1007/s11219-024-09693-1

Jiaxuan Han, Cheng Huang, Jiayong Liu

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引用次数: 0

Abstract

Automated software bug localization is a significant technology to improve the efficiency of software repair and ensure software quality while promoting the software ecosystem’s stable development. The main objective is to address the semantic matching problem between bug reports and source codes. The appearance of the Transformer structure provides us with a new idea to solve this problem. Transformer-based deep learning models can provide accurate semantic matching results but with a considerable cost (e.g., time). In this paper, we propose a fast and accurate bug localization method named bjEnet based on natural language semantic matching. bjEnet utilizes a pre-trained code language model to transform source codes into code summaries. Then, a code filtering mechanism is employed to exclude source codes unrelated to bug reports, thereby reducing the number of source codes that need to be combined with bug reports for correlation evaluation. Finally, bjEnet uses a BERT-based cross-encoder to localize bugs in the natural language semantic space. The experimental results show that bjEnet is superior to state-of-the-art methods, with an average time to localize a bug report of less than 1 second.

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bjEnet：自然语言语义空间中快速准确的软件缺陷定位方法

软件错误自动定位是提高软件修复效率、确保软件质量、促进软件生态系统稳定发展的一项重要技术。其主要目的是解决错误报告与源代码之间的语义匹配问题。Transformer 结构的出现为我们解决这一问题提供了新思路。基于 Transformer 的深度学习模型可以提供准确的语义匹配结果，但需要付出相当大的代价（如时间）。在本文中，我们提出了一种基于自然语言语义匹配的快速、准确的错误定位方法，名为 bjEnet。bjEnet 利用预先训练好的代码语言模型将源代码转换为代码摘要。然后，采用代码过滤机制排除与错误报告无关的源代码，从而减少了需要与错误报告相结合进行相关性评估的源代码数量。最后，bjEnet 使用基于 BERT 的交叉编码器在自然语言语义空间中定位错误。实验结果表明，bjEnet 优于最先进的方法，定位错误报告的平均时间小于 1 秒。

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来源期刊

Software Quality Journal 工程技术-计算机：软件工程

CiteScore

4.90

自引率

5.30%

发文量

审稿时长

>12 weeks

期刊介绍： The aims of the Software Quality Journal are: (1) To promote awareness of the crucial role of quality management in the effective construction of the software systems developed, used, and/or maintained by organizations in pursuit of their business objectives. (2) To provide a forum of the exchange of experiences and information on software quality management and the methods, tools and products used to measure and achieve it. (3) To provide a vehicle for the publication of academic papers related to all aspects of software quality. The Journal addresses all aspects of software quality from both a practical and an academic viewpoint. It invites contributions from practitioners and academics, as well as national and international policy and standard making bodies, and sets out to be the definitive international reference source for such information. The Journal will accept research, technique, case study, survey and tutorial submissions that address quality-related issues including, but not limited to: internal and external quality standards, management of quality within organizations, technical aspects of quality, quality aspects for product vendors, software measurement and metrics, software testing and other quality assurance techniques, total quality management and cultural aspects. Other technical issues with regard to software quality, including: data management, formal methods, safety critical applications, and CASE.