对软件测试自动化投资回报的调查,主要来自印度班加罗尔的组织

S. Reine De Reanzi, P. Ranjit Jeba Thangaiah
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引用次数: 2

摘要

软件行业已经广泛采用自动化测试。最常用的方法是对功能场景进行图形用户界面测试自动化,以减少手工测试并增加可重复性。减少执行时间和冗余以实现高质量的“进行/不进行决策”,为执行管理分配资金以采用自动化并投资于包括人员、流程和工具在内的设置以实现更快的上市时间提供了理性依据。测试人员使用了各种各样的实践,比如框架、工具、方法、过程、模型,以及实现自动化的技术。尽管如此,在投资回报(ROI)方面的实际有效性是未知的,尽管有各种各样的公式来计算测试自动化的ROI。决定ROI的因素是测试自动化的成熟度、目的或意图、为自动化选择正确的测试、测试人员获得测试覆盖的知识、领域专业知识、定义正确的度量(如自动化运行发现的缺陷)、成本与减少时间、劳动力与脚本质量、可重复性和结果。这些因素构成了为调查设计的问题的基础。本文提出了一项调查和分析,以了解来自产品和服务组织的工业测试专业人员的测试自动化的投资回报率。
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A survey on software test automation return on investment, in organizations predominantly from Bengaluru, India
Software industry has adopted automated testing widely. The most common method adopted is graphical user interface test automation for the functional scenarios to reduce manual testing and increase the repeatability. Reducing execution time and redundancy to achieve quality “go/no go decisions” provides rational for the executive management to allocate funds to adopt automation and invest in the setup including people, process, and tools to achieve faster time to market. There are a variety of practices engaged by testers, like frameworks, tools, methods, procedures, models, and technologies to achieve automation. Nonetheless, the actual effectiveness in terms of return on investment (ROI) is not known, though there are various formulas to calculate ROI of test automation. The factors that determine the ROI are maturity of test automation, purpose, or intent, picking right tests for automation, knowledge of the tester to derive test coverage, domain expertise, defining right metrics like defects found by automation runs, cost versus reduction of time, labor versus quality of scripts, repeatability, and results. These factors form the base of the questions designed for the survey. The paper presents a survey and analysis to understand the ROI of test automation from industry test professionals from both product and services organizations.
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来源期刊
CiteScore
7.50
自引率
6.10%
发文量
17
审稿时长
15 weeks
期刊介绍: The International Journal of Engineering Business Management (IJEBM) is an international, peer-reviewed, open access scientific journal that aims to promote an integrated and multidisciplinary approach to engineering, business and management. The journal focuses on issues related to the design, development and implementation of new methodologies and technologies that contribute to strategic and operational improvements of organizations within the contemporary global business environment. IJEBM encourages a systematic and holistic view in order to ensure an integrated and economically, socially and environmentally friendly approach to management of new technologies in business. It aims to be a world-class research platform for academics, managers, and professionals to publish scholarly research in the global arena. All submitted articles considered suitable for the International Journal of Engineering Business Management are subjected to rigorous peer review to ensure the highest levels of quality. The review process is carried out as quickly as possible to minimize any delays in the online publication of articles. Topics of interest include, but are not limited to: -Competitive product design and innovation -Operations and manufacturing strategy -Knowledge management and knowledge innovation -Information and decision support systems -Radio Frequency Identification -Wireless Sensor Networks -Industrial engineering for business improvement -Logistics engineering and transportation -Modeling and simulation of industrial and business systems -Quality management and Six Sigma -Automation of industrial processes and systems -Manufacturing performance and productivity measurement -Supply Chain Management and the virtual enterprise network -Environmental, legal and social aspects -Technology Capital and Financial Modelling -Engineering Economics and Investment Theory -Behavioural, Social and Political factors in Engineering
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