MR-Scout: Automated Synthesis of Metamorphic Relations from Existing Test Cases

IF 6.6 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING ACM Transactions on Software Engineering and Methodology Pub Date : 2024-04-09 DOI:10.1145/3656340
Congying Xu, Valerio Terragni, Hengcheng Zhu, Jiarong Wu, Shing-Chi Cheung
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Abstract

Metamorphic Testing (MT) alleviates the oracle problem by defining oracles based on metamorphic relations (MRs), that govern multiple related inputs and their outputs. However, designing MRs is challenging, as it requires domain-specific knowledge. This hinders the widespread adoption of MT. We observe that developer-written test cases can embed domain knowledge that encodes MRs. Such encoded MRs could be synthesized for testing not only their original programs but also other programs that share similar functionalities.

In this paper, we propose MR-Scout to automatically synthesize MRs from test cases in open-source software (OSS) projects. MR-Scout first discovers MR-encoded test cases (MTCs), and then synthesizes the encoded MRs into parameterized methods (called codified MRs), and filters out MRs that demonstrate poor quality for new test case generation. MR-Scout discovered over 11,000 MTCs from 701 OSS projects. Experimental results show that over 97% of codified MRs are of high quality for automated test case generation, demonstrating the practical applicability of MR-Scout. Furthermore, codified-MRs-based tests effectively enhance the test adequacy of programs with developer-written tests, leading to 13.52% and 9.42% increases in line coverage and mutation score, respectively. Our qualitative study shows that 55.76% to 76.92% of codified MRs are easily comprehensible for developers.

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MR-Scout:从现有测试用例自动合成变形关系
元变形测试(MT)通过基于元变形关系(MR)定义神谕来缓解神谕问题,元变形关系管理多个相关输入及其输出。然而,由于需要特定领域的知识,MR 的设计极具挑战性。这阻碍了 MT 的广泛应用。我们发现,开发人员编写的测试用例可以嵌入编码 MR 的领域知识。这种编码的 MR 不仅可以合成用于测试原始程序,还可以用于测试具有类似功能的其他程序。在本文中,我们提出了 MR-Scout,用于从开源软件(OSS)项目的测试用例中自动合成磁共振。MR-Scout 首先发现 MR 编码的测试用例(MTC),然后将编码的 MR 合成为参数化方法(称为编码的 MR),并过滤掉质量较差的 MR,以便生成新的测试用例。MR-Scout 从 701 个开放源码软件项目中发现了 11,000 多个 MTC。实验结果表明,超过 97% 的已编码 MR 对于自动生成测试用例具有较高的质量,这证明了 MR-Scout 的实用性。此外,基于编码磁共振的测试有效提高了开发人员编写测试的程序的测试充分性,使行覆盖率和突变分数分别提高了 13.52% 和 9.42%。我们的定性研究表明,55.76% 到 76.92% 的编码 MR 对于开发人员来说是易于理解的。
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来源期刊
ACM Transactions on Software Engineering and Methodology
ACM Transactions on Software Engineering and Methodology 工程技术-计算机:软件工程
CiteScore
6.30
自引率
4.50%
发文量
164
审稿时长
>12 weeks
期刊介绍: Designing and building a large, complex software system is a tremendous challenge. ACM Transactions on Software Engineering and Methodology (TOSEM) publishes papers on all aspects of that challenge: specification, design, development and maintenance. It covers tools and methodologies, languages, data structures, and algorithms. TOSEM also reports on successful efforts, noting practical lessons that can be scaled and transferred to other projects, and often looks at applications of innovative technologies. The tone is scholarly but readable; the content is worthy of study; the presentation is effective.
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