Universitat Politècnica de Catalunya
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
2020
Data-driven approaches are becoming dominant in almost every single software engineering activity, and requirements engineering is not the exception. The analysis of data coming from several sources may indeed become an extremely useful input to requirements elicitation and management. However, benefits do not come for free. Techniques such as natural language processing and machine learning are difficult to master and require high-quality data and specific competences from different fields, whilst their generalization remains as a challenge. This paper introduces the main concepts behind data-driven requirements engineering, provides an overview of the state of the art in the field and identifies the main challenges to be addressed.
This work is partially supported by the GENESIS project, funded by the Spanish Ministerio de Ciencia e Innovación under contract TIN2016-79269-R.
Peer Reviewed
Postprint (author's final draft)
Conference report
Anglès
Àrees temàtiques de la UPC::Informàtica::Enginyeria del software; Requirements engineering; Requirements engineering; Data-driven requirements engineering; Feedback; Natural language processing; Software analytics; Monitoring; Decision-making; Release planning; Enginyeria de requisits
Springer
https://link.springer.com/chapter/10.1007/978-3-030-70006-5_4
info:eu-repo/grantAgreement/MINECO/1PE/TIN2016-79269-R
Open Access
E-prints [72986]
