A Neural Blockchain for Requirements Traceability: BC4RT Prototype

Abstract:

The ever-increasing globalization of the software industry presents challenges related to requirements engineering activities. Managing requirements’ changes and tracing software artifacts is not trivial in a multi-site environment composed of a variety of stakeholders that do not trust each other. In this study, we propose a neural blockchain prototype for the traceability of requirements (BC4RT) throughout the software development lifecycle in interorganizational software projects. The prototype is implemented using a neural blockchain platform, namely NDL ArcaNet, due to its inherent properties: performance efficiency, sustainability, and scalability. Besides these features, the proposed prototype provides a holistic and reliable view of software artifacts, requirements’ changes, and trace links. The increased visibility enhances collaboration, communication, and trust among stakeholders, and can potentially improve software development efficiency and quality.

Año de publicación:

2022

Keywords:

• Interorganizational software projects
• blockchain technology
• Neural distributed ledger
• Requirements traceability

Fuente:

scopus