Revisiting Abstractions for Software Architecture and Tools to Support Them

IF 6.5 1区计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING

IEEE Transactions on Software Engineering Pub Date : 2025-01-27 DOI:10.1109/TSE.2025.3533549

Mary Shaw;Daniel V. Klein;Theodore L. Ross

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Abstract

The mid-1990s saw the design of programming languages for software architectures, which define the high-level aspects of software systems including how code components were composed to form full systems. Our paper Abstractions for Software Architecture and Tools to Support Them presented a conceptual view of software architecture based on abstractions used in practice to organize software systems, a language that supported these abstractions, and a prototype implementation of this language (Shaw et al., 1995). By invitation, we reflect on the paper’s principal ideas about system-level abstractions, place the work in a historical context of steadily increasing abstraction power in software development languages and infrastructure, and reflect on how progress since the paper’s 1995 publication has been influenced, directly or indirectly, by this work. We describe current manifestations of architectural ideas and current challenges. We suggest how the strategy we used to identify and reify architectural abstractions may apply to current opportunities.

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来源期刊

IEEE Transactions on Software Engineering 工程技术-工程：电子与电气

CiteScore

9.70

自引率

10.80%

发文量

724

审稿时长

6 months

期刊介绍： IEEE Transactions on Software Engineering seeks contributions comprising well-defined theoretical results and empirical studies with potential impacts on software construction, analysis, or management. The scope of this Transactions extends from fundamental mechanisms to the development of principles and their application in specific environments. Specific topic areas include: a) Development and maintenance methods and models: Techniques and principles for specifying, designing, and implementing software systems, encompassing notations and process models. b) Assessment methods: Software tests, validation, reliability models, test and diagnosis procedures, software redundancy, design for error control, and measurements and evaluation of process and product aspects. c) Software project management: Productivity factors, cost models, schedule and organizational issues, and standards. d) Tools and environments: Specific tools, integrated tool environments, associated architectures, databases, and parallel and distributed processing issues. e) System issues: Hardware-software trade-offs. f) State-of-the-art surveys: Syntheses and comprehensive reviews of the historical development within specific areas of interest.