Mohan S.R. Elapolu , Rahul Rai , David J. Gorsich , Denise Rizzo , Stephen Rapp , Matthew P. Castanier
{"title":"Blockchain technology for requirement traceability in systems engineering","authors":"Mohan S.R. Elapolu , Rahul Rai , David J. Gorsich , Denise Rizzo , Stephen Rapp , Matthew P. Castanier","doi":"10.1016/j.is.2024.102384","DOIUrl":null,"url":null,"abstract":"<div><p>Requirement engineering (RE), a systematic process of eliciting, defining, analyzing, and managing requirements, is a vital phase in systems engineering. In RE, requirement traceability establishes the relationship between the artifacts and supports requirement validation, change management, and impact analysis. Establishing requirement traceability is challenging, especially in the early stages of a complex system design, as requirements constantly evolve and change. Moreover, the involvement of distributed stakeholders in system development introduces collaboration and trust issues. This paper outlines a novel blockchain-based requirement traceability framework that includes a data acquisition template and graph-based visualization. The template enables dual-level traceability (artifact and object) in the RE processes. The traceability information acquired through the templates is stored in the blockchain, where traces are embedded in blocks’ metadata and data. Furthermore, the blockchain is represented as a <em>Neo4J</em> property graph where traces can be retrieved using <em>Cypher</em> queries, thus enabling a mechanism to query and examine the history of requirements. The framework’s efficacy is showcased by documenting the RE process of an autonomous automotive system. Our results indicated that the framework can record the history of artifacts with constantly changing requirements and can yield secure decentralized ledgers of requirement artifacts. The proposed distributed traceability framework has shown promise to enhance stakeholder collaboration and trust. However, additional user studies should be conducted to bolster our results.</p></div>","PeriodicalId":50363,"journal":{"name":"Information Systems","volume":"123 ","pages":"Article 102384"},"PeriodicalIF":3.0000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306437924000425","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Requirement engineering (RE), a systematic process of eliciting, defining, analyzing, and managing requirements, is a vital phase in systems engineering. In RE, requirement traceability establishes the relationship between the artifacts and supports requirement validation, change management, and impact analysis. Establishing requirement traceability is challenging, especially in the early stages of a complex system design, as requirements constantly evolve and change. Moreover, the involvement of distributed stakeholders in system development introduces collaboration and trust issues. This paper outlines a novel blockchain-based requirement traceability framework that includes a data acquisition template and graph-based visualization. The template enables dual-level traceability (artifact and object) in the RE processes. The traceability information acquired through the templates is stored in the blockchain, where traces are embedded in blocks’ metadata and data. Furthermore, the blockchain is represented as a Neo4J property graph where traces can be retrieved using Cypher queries, thus enabling a mechanism to query and examine the history of requirements. The framework’s efficacy is showcased by documenting the RE process of an autonomous automotive system. Our results indicated that the framework can record the history of artifacts with constantly changing requirements and can yield secure decentralized ledgers of requirement artifacts. The proposed distributed traceability framework has shown promise to enhance stakeholder collaboration and trust. However, additional user studies should be conducted to bolster our results.
期刊介绍:
Information systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems.
Subject areas include data management issues as presented in the principal international database conferences (e.g., ACM SIGMOD/PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining/machine learning, information retrieval coordinated with structured data, internet and cloud data management, business process management, web semantics, visual and audio information systems, scientific computing, and data science. Implementation papers having to do with massively parallel data management, fault tolerance in practice, and special purpose hardware for data-intensive systems are also welcome. Manuscripts from application domains, such as urban informatics, social and natural science, and Internet of Things, are also welcome. All papers should highlight innovative solutions to data management problems such as new data models, performance enhancements, and show how those innovations contribute to the goals of the application.