A Survey of Program Analysis for Distributed Software Systems

IF 28 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Haipeng Cai
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引用次数: 0

Abstract

Distributed software systems are pervasive today and they are increasingly developed/deployed to meet the growing needs for scalable computing. Given their critical roles in modern information infrastructures, assuring the quality of distributed software is crucial. As a fundamental methodology for software quality assurance in general, program analysis underlies a range of techniques and tools for constructing and assuring distributed systems. Yet to this date there remains a lack of systematical understandings of what have been done and how far we are in the field of program analysis for distributed systems. To gain a comprehensive and coherent view of this area hence inform relevant future research, this paper provides a systematic literature review of the (1) technical approaches , including analysis methodology, modality, underlying representation, algorithmic design, data utilized, and scope, (2) applications , with respect to the quality aspects served, and (3) evaluation , including the datasets and metrics considered, of various program analyses in the domain of distributed software in the past 30 years (1995–2024). In addition to knowledge systematization, we also extend our insights into the limitations of and challenges faced by current technique and evaluation designs, which shed light on potentially promising future research directions .
分布式软件系统程序分析综述
分布式软件系统在今天是普遍存在的,它们被越来越多地开发/部署以满足对可伸缩计算不断增长的需求。考虑到它们在现代信息基础设施中的关键作用,确保分布式软件的质量至关重要。作为软件质量保证的基本方法,程序分析是构建和保证分布式系统的一系列技术和工具的基础。然而,到目前为止,对于已经完成的工作以及我们在分布式系统程序分析领域的进展,仍然缺乏系统的理解。为了获得对这一领域的全面和连贯的看法,从而为相关的未来研究提供信息,本文对以下方面进行了系统的文献综述:(1)技术方法,包括分析方法、模式、底层表示、算法设计、使用的数据和范围;(2)服务质量方面的应用;(3)评估,包括考虑的数据集和指标。过去30年(1995-2024)分布式软件领域的各种程序分析。除了知识的系统化,我们还扩展了我们对当前技术和评估设计的局限性和面临的挑战的见解,从而揭示了潜在的有前途的未来研究方向。
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
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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