Needs and challenges for a platform to support large-scale requirements engineering: a multiple-case study
Document typeConference report
PublisherAssociation for Computing Machinery (ACM)
Rights accessOpen Access
Background: Requirement engineering is often considered a critical activity in system development projects. The increasing complexity of software as well as number and heterogeneity of stakeholders motivate the development of methods and tools for improving large-scale requirement engineering. Aims: The empirical study presented in this paper aim to identify and understand the characteristics and challenges of a platform, as desired by experts, to support requirement engineering for individual stakeholders, based on the current pain-points of their organizations when dealing with a large number requirements. Method: We conducted a multiple case study with three companies in different domains. We collected data through ten semi-structured interviews with experts from these companies. Results: The main pain-point for stakeholders is handling the vast amount of data from different sources. The foreseen platform should leverage such data to manage changes in requirements according to customers' and users' preferences. It should also offer stakeholders an estimation of how long a requirements engineering task will take to complete, along with an easier requirements dependency identification and requirements reuse strategy. Conclusions: The findings provide empirical evidence about how practitioners wish to improve their requirement engineering processes and tools. The insights are a starting point for in-depth investigations into the problems and solutions presented. Practitioners can use the results to improve existing or design new practices and tools
CitationFucci, D. [et al.]. Needs and challenges for a platform to support large-scale requirements engineering: a multiple-case study. A: International Symposium on Empirical Software Engineering and Measurement. "Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2018, Oulu, Finland, October 11-12, 2018". New York: Association for Computing Machinery (ACM), 2019, p. 19:1-19:10.