Test environments for large‐scale software systems—An industrial study of intrinsic and extrinsic success factors

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Torvald Mårtensson, Göran Ancher, Daniel Ståhl
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Abstract

The characteristics of the test environment are of vital importance to its ability to support the organizations testing objectives. This paper seeks to address the need for a structured and reliable approach, which can be used by companies and other organizations to optimize their test environments in each individual case. The reported study included a series of interviews with 30 individuals, a series of focus groups with in total 31 individuals and a cross‐company workshop with 30 participants from five large‐scale companies, operating in different industry segments. The study resulted in a list of success factors, including not only characteristics and capabilities existing within a test environment (intrinsic success factors) but also properties not inherent to the test environment, but still vital for a successfully implemented test environment (extrinsic success factors). This distinction is important, as the root causes differ and as addressing them requires distinct approaches—not only of technology but also of organization, communication and collaboration. We find that successful implementations of test environments for large‐scale software systems depend primarily on how they support the company's business strategy, test organization and product testability (extrinsic success factors). Based on this, test environments can then be optimized to improve test environment capabilities, usability and stability (intrinsic success factors). The list of intrinsic and extrinsic success factors was well received by all five companies included in the study, supporting that the intrinsic and extrinsic success factors for test environments can be applied to a large segment of the software industry.

Abstract Image

大规模软件系统的测试环境——内在和外在成功因素的工业研究
测试环境的特性对于其支持组织测试目标的能力是至关重要的。本文试图解决对结构化和可靠的方法的需求,它可以被公司和其他组织用来在每个单独的情况下优化他们的测试环境。报告的研究包括对30个人的一系列访谈,对31个人的一系列焦点小组,以及来自5家大型公司的30名参与者的跨公司研讨会,这些公司在不同的行业领域运营。该研究得出了一个成功因素的列表,不仅包括测试环境中存在的特性和能力(内在成功因素),还包括测试环境中不固有但对成功实现的测试环境仍然至关重要的特性(外在成功因素)。这种区别很重要,因为根源不同,解决它们需要不同的方法——不仅是技术,还有组织、沟通和协作。我们发现,大型软件系统测试环境的成功实现主要取决于它们如何支持公司的业务策略、测试组织和产品可测试性(外在成功因素)。在此基础上,测试环境可以被优化以提高测试环境的能力、可用性和稳定性(内在的成功因素)。内在和外在成功因素的列表被包括在研究中的所有五家公司很好地接受,支持测试环境的内在和外在成功因素可以应用于软件行业的很大一部分。
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来源期刊
Software Testing Verification & Reliability
Software Testing Verification & Reliability 工程技术-计算机:软件工程
CiteScore
3.70
自引率
0.00%
发文量
34
审稿时长
>12 weeks
期刊介绍: The journal is the premier outlet for research results on the subjects of testing, verification and reliability. Readers will find useful research on issues pertaining to building better software and evaluating it. The journal is unique in its emphasis on theoretical foundations and applications to real-world software development. The balance of theory, empirical work, and practical applications provide readers with better techniques for testing, verifying and improving the reliability of software. The journal targets researchers, practitioners, educators and students that have a vested interest in results generated by high-quality testing, verification and reliability modeling and evaluation of software. Topics of special interest include, but are not limited to: -New criteria for software testing and verification -Application of existing software testing and verification techniques to new types of software, including web applications, web services, embedded software, aspect-oriented software, and software architectures -Model based testing -Formal verification techniques such as model-checking -Comparison of testing and verification techniques -Measurement of and metrics for testing, verification and reliability -Industrial experience with cutting edge techniques -Descriptions and evaluations of commercial and open-source software testing tools -Reliability modeling, measurement and application -Testing and verification of software security -Automated test data generation -Process issues and methods -Non-functional testing
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