MUT Model: a metric for characterizing metamorphic relations diversity

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Xiaodong Xie, Zhehao Li, Jinfu Chen, Yue Zhang, Xiangxiang Wang, Patrick Kwaku Kudjo
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Abstract

Metamorphic testing emerged as a solution to the Oracle problem, with its foundation deeply rooted in the concept of Metamorphic Relations (MRs). Researchers have made an intriguing discovery that certain diverse MRs exhibit similar fault detection capabilities as the test oracle. However, defining the criteria for diverse MRs has posed a challenge. Traditional metrics like Mutation Score (MS) and Fault Detection Rate (FDR) fail to assess the diversity of MRs. This paper introduces the MUT Model as a foundational framework for analyzing the "MR Diversity" between a pair of MRs. The word "diversity" in this paper pertains to the differences in the types of faults that two MRs are inclined to detect. The experimental findings indicate that by harnessing posterior knowledge, specifically by analyzing the MUT Model, it is possible to derive prior knowledge that can aid in the construction of Metamorphic Relations. Most importantly, the MUT Model may draw conclusions that violate intuition, exposing more details of the core essence of MR Diversity. Moreover, the concept of MR Diversity serves as a basis for MR selection, resulting in enhanced fault detection capabilities compared to the conventional MS-based approach. Additionally, it offers valuable insights into the construction of composite metamorphic relations, with the goal of amplifying their fault detection abilities beyond those of their individual MR components.

Abstract Image

MUT 模型:表征变质关系多样性的指标
元测试是作为甲骨文问题的一种解决方案出现的,其基础深深植根于元关系(MRs)的概念。研究人员发现了一个有趣的现象,即某些不同的 MR 具有与测试甲骨文类似的故障检测能力。然而,定义多样化 MR 的标准一直是个难题。突变分数 (MS) 和故障检测率 (FDR) 等传统指标无法评估 MR 的多样性。本文介绍了 MUT 模型,作为分析一对 MR 之间 "MR 多样性 "的基础框架。本文中的 "多样性 "一词是指两个磁共振倾向于检测的故障类型的差异。实验结果表明,通过利用后验知识,特别是通过分析 MUT 模型,可以获得有助于构建变质关系的先验知识。最重要的是,MUT 模型可能会得出违反直觉的结论,从而揭示出 MR 多样性核心本质的更多细节。此外,与传统的基于 MS 的方法相比,MR 多样性的概念可作为 MR 选择的基础,从而增强故障检测能力。此外,它还为构建复合变质关系提供了有价值的见解,目的是增强其断层探测能力,使其超越单个磁共振成分的探测能力。
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来源期刊
Software Quality Journal
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
26
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.
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