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引用次数: 0
摘要
由于配置数量巨大,对高度可配置系统进行测试极具挑战性,而且通常是在较小的样本集上进行测试。其质量通常用 t 值覆盖率来衡量。我们提出了一种工具 Baital,用于对具有数千种特征的高可配置系统进行采样,从而实现高 t-wise 覆盖率。该工具的有效性和可扩展性基于两种新技术:自适应加权采样和 t 值覆盖率计算近似技术。Baital 可以轻松处理 6 维覆盖率的采样和计算。最新版本支持多值特征。
Baital: Sampling configurable systems with high t-wise coverage
Testing of highly configurable systems is challenging due to an immense number of configurations and is usually performed on a small sample set. Its quality is often measured with t-wise coverage. We propose a tool for sampling highly configurable systems with thousands of features capable of achieving high t-wise coverage. The effectiveness and scalability of the tool are based on two novel techniques: the adaptive weighted sampling and the approximation techniques for the t-wise coverage computation. can easily handle sampling and computation for 6-wise coverage. The latest version supports multi-valued features.
期刊介绍:
Science of Computer Programming is dedicated to the distribution of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design.
The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues andthe aspects of industrial practice.
The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including
• Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software;
• Design, implementation and evaluation of programming languages;
• Programming environments, development tools, visualisation and animation;
• Management of the development process;
• Human factors in software, software for social interaction, software for social computing;
• Cyber physical systems, and software for the interaction between the physical and the machine;
• Software aspects of infrastructure services, system administration, and network management.