Data-Driven Requirements Elicitation: A Systematic Literature Review

• Published in: SN computer science Vol. 2; no. 1; p. 16
• Main Authors: Lim, Sachiko, Henriksson, Aron, Zdravkovic, Jelena
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.02.2021; Springer Nature B.V
• Subjects: Automation; Big Data; Computer and Systems Sciences; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Data processing; Data Structures and Information Theory; data- och systemvetenskap; Digitization; Engineering; Information systems; Information Systems and Communication Service; Internet of Things; Knowledge; Literature reviews; Machine learning; Natural language; Pattern Recognition and Graphics; Requirements analysis; Requirements elicitation; Requirements engineering; Requirements specifications; Review Article; Social networks; Software; Software development; Software engineering; Software Engineering/Programming and Operating Systems; Stakeholders; State-of-the-art reviews; Supervised learning; Systematic review; User feedback; Vision; Big Data; Requirements elicitation; Automation; Requirements engineering

Requirements engineering has traditionally been stakeholder-driven. In addition to domain knowledge, widespread digitalization has led to the generation of vast amounts of data (Big Data) from heterogeneous digital sources such as the Internet of Things (IoT), mobile devices, and social networks. Th...