Using Hypotheses to Manage Technical Uncertainty and Architecture Evolution in a Software Start-up

IF 3.3 4区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING IEEE Software Pub Date : 2024-06-04 DOI:10.1109/ms.2024.3383628
Kelson Silva, Jorge Melegati, Xiaofeng Wang, Mauricio Ferreira, Eduardo Guerra
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Abstract

This article presents the case of a start-up applying a technique named ArchHypo that uses hypotheses to express uncertainties related to the software architecture. Ten months after identifying the hypotheses, it was assessed how the usage of this technique impacted their decisions.
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利用假设管理新创软件公司的技术不确定性和架构演变
本文介绍了一家初创公司应用名为 ArchHypo 的技术的案例,该技术使用假设来表达与软件架构相关的不确定性。在确定假设 10 个月后,对使用该技术如何影响决策进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Software
IEEE Software 工程技术-计算机:软件工程
CiteScore
5.50
自引率
6.10%
发文量
182
审稿时长
6-12 weeks
期刊介绍: IEEE Software delivers reliable, useful, leading-edge software development information to keep engineers and managers abreast of rapid technology change. Its mission is to build the community of leading software practitioners. The authority on translating software theory into practice, this magazine positions itself between pure research and pure practice, transferring ideas, methods, and experiences among researchers and engineers. Peerreviewed articles and columns by seasoned practitioners illuminate all aspects of the industry, including process improvement, project management, development tools, software maintenance, Web applications and opportunities, testing, and usability. The magazine''s readers specify, design, document, test, maintain, purchase, engineer, sell, teach, research, and manage the production of software or systems that include software. IEEE Software welcomes articles describing how software is developed in specific companies, laboratories, and university environments as well as articles describing new tools, current trends, and past projects'' limitations and failures as well as successes. Sample topics include geographically distributed development; software architectures; program and system debugging and testing; the education of software professionals; requirements, design, development, testing, and management methodologies; performance measurement and evaluation; standards; program and system reliability, security, and verification; programming environments; languages and language-related issues; Web-based development; usability; and software-related social and legal issues.
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