2026-04-19T22:41:02Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/3454762026-01-21T09:46:39Zcom_2072_1033col_2072_452950

00925njm 22002777a 4500 dc Franch Gutiérrez, Javier author 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) 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 Data-driven requirements engineering: A guided tour