架构设计决策与软件成品的可追溯性:系统映射研究

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Foundations of Computing and Decision Sciences Pub Date : 2023-12-01 DOI:10.2478/fcds-2023-0018
Santiago Hyun, Julio Ariel Hurtado
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引用次数: 0

摘要

摘要 架构的定义是软件开发中的一项关键任务,架构师负责做出正确的决定,以满足特定的功能和质量要求。这些架构设计决策构成了塑造系统内元素排列的基础。遗憾的是,这些决策往往记录不全,隐含在各种工件中,或者更新不足,从而对系统的可维护性造成负面影响,导致返工和成本超支。本系统映射研究的目的是了解架构设计决策可追溯性方法的现状,以及这些决策如何与软件开发中使用的不同工件相联系。为实现这一目标,我们采用了一种信息提取协议,利用带有搜索字符串、包含和排除标准的数据库。研究结果表明,这些知识具有很强的相关性,但却很少被明确记录下来。因此,大多数著作都提出了不同的方法,从现有的技术文档、常用工具以及其他产品和流程信息来源中提取这些知识。相比之下,记录设计决策显然没有标准可言,这导致每位作者对什么是重要决策以及在哪里跟踪这些决策提出了主观的看法。这表明,关于这些架构设计决策的可追溯性及其与软件工件的联系,仍有大量的研究工作要做。这些研究可能会提出令人感兴趣的新调查建议。
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Traceability of Architectural Design Decisions and Software Artifacts: A Systematic Mapping Study
Abstract The definition of architecture is a crucial task in software development, where the architect is responsible for making the right decisions to meet specific functional and quality requirements. These architectural design decisions form the foundation that shapes the arrangement of elements within a system. Unfortunately, these decisions are often poorly documented, implicit in various artifacts, or inadequately updated, leading to negative consequences on the maintainability of a system and resulting in rework and cost overruns. The objective of this systematic mapping study is to comprehend the current state regarding approaches for traceability of architectural design decisions and how these decisions are linked with the different artifacts used in software development. To achieve this, an information extraction protocol is followed, utilizing databases with search strings, inclusion, and exclusion criteria. The findings demonstrate that this knowledge is highly relevant; however, it is rarely explicitly documented. As a result, most works propose diverse approaches to extract this knowledge from existing technical documentation, commonly used tools, and other sources of product and process information. In contrast, it is evident that there is no standard for documenting design decisions, leading each author to present a subjective version of what is important and where to trace these decisions. This suggests that there is still a significant amount of research to be conducted regarding the traceability of these architectural design decisions and their connection with software artifacts. Such research could lead to intriguing new proposals for investigation.
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来源期刊
Foundations of Computing and Decision Sciences
Foundations of Computing and Decision Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
2.20
自引率
9.10%
发文量
16
审稿时长
29 weeks
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