What have we learnt from the challenges of (semi-) automated requirements traceability? A discussion on blockchain applicability

IET Softw. Pub Date : 2021-07-04 DOI:10.1049/SFW2.12035
Selina Demi, Mary-Luz Sánchez-Gordón, Ricardo Colomo Palacios
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引用次数: 3

Abstract

Over the last 3 decades, researchers have attempted to shed light into the requirements traceability problem by introducing tracing tools, techniques, and methods with the vision of achieving ubiquitous traceability. Despite the technological advances, requirements traceability remains problematic for researchers and practitioners. This study aims to identify and investigate the main challenges in implementing (semi-)automated requirements traceability, as reported in the recent literature. A systematic literature review was carried out based on the guidelines for systematic literature reviews in software engineering, proposed by Kitchenham. We retrieved 4530 studies by searching five major bibliographic databases and selected 70 primary studies. These studies were analysed and classified according to the challenges they present and/or address. Twenty-one challenges were identified and were classified into five categories. Findings reveal that the most frequent challenges are technological challenges, in particular, low accuracy of traceability recovery methods. Findings also suggest that future research efforts should be devoted to the human facet of tracing, to explore traceability practices in organisational settings, and to develop traceability approaches that support agile and DevOps practices. Finally, it is recommended that researchers leverage blockchain technology as a suitable technical solution to ensure the trustworthiness of traceability information in interorganisational software projects.
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我们从(半)自动化需求追溯的挑战中学到了什么?关于区块链适用性的讨论
在过去的30年里,研究人员试图通过引入跟踪工具、技术和方法来实现无处不在的可跟踪性,从而揭示需求可跟踪性问题。尽管技术进步了,需求的可追溯性对于研究人员和实践者来说仍然是有问题的。这项研究的目的是识别和调查在实现(半)自动化需求跟踪中的主要挑战,正如最近的文献所报道的那样。根据Kitchenham提出的软件工程中系统文献综述的指导方针,进行了系统的文献综述。我们检索了5个主要的文献数据库,检索了4530篇研究,并选择了70篇主要研究。这些研究是根据它们提出和/或解决的挑战进行分析和分类的。确定了21项挑战,并将其分为五类。研究结果表明,最常见的挑战是技术挑战,特别是可追溯性恢复方法的低准确性。研究结果还表明,未来的研究工作应该致力于跟踪的人类方面,探索组织环境中的可跟踪性实践,并开发支持敏捷和DevOps实践的可跟踪性方法。最后,建议研究人员利用区块链技术作为合适的技术解决方案,以确保组织间软件项目中可追溯信息的可信度。
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