Browsing by Author "Dalpiaz, Fabiano"
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An empirical evaluation roadmap for iStar 2.0
López Cuesta, Lidia; Aydemir, Fatma Basak; Dalpiaz, Fabiano; Horkoff, Jennifer (2016)
Conference report
Open AccessThe iStar 2.0 modeling language is the result of a two-year community effort intended at providing a solid, unified basis for teaching and conducting research with i*. The language was released with important qualities in ... -
iStar 2.0 language guide
Dalpiaz, Fabiano; Franch Gutiérrez, Javier; Horkoff, Jennifer (2016)
Research report
Open AccessThe i* modeling language was introduced to fill the gap in the spectrum of conceptual modeling languages, focusing on the intentional (why?), social (who?), and strategic (how? how else?) dimensions. i* has been applied ... -
Natural language processing for requirements engineering: The best is yet to come
Dalpiaz, Fabiano; Ferrari, Alessio; Franch Gutiérrez, Javier; Palomares Bonache, Cristina (2018-09)
Article
Open AccessAs part of the growing interest in natural language processing for requirements engineering (RE), RE researchers, computational linguists, and industry practitioners met at the First Workshop on Natural Language Processing ... -
Replication in requirements engineering: the NLP for RE case
Abualhaija, Sallam; Aydemir, Fatma Basak; Dalpiaz, Fabiano; Dell'Anna, Davide; Ferrari, Alessio; Franch Gutiérrez, Javier; Fucci, Davide (2024-06-27)
Article
Open AccessNatural language processing (NLP) techniques have been widely applied in the requirements engineering (RE) field to support tasks such as classification and ambiguity detection. Despite its empirical vocation, RE research ... -
The crowd in requirements engineering: the landscape and challenges
Groen, Eduard C.; Seyff, Norbert; Ali, Raian; Dalpiaz, Fabiano; Doerr, Joerg; Guzman, Emitza; Hosseini, Mahmood; Marco Gómez, Jordi; Oriol Hilari, Marc; Perini, Anna; Stade, Melanie (2017-03-28)
Article
Open AccessCrowd-based requirements engineering (CrowdRE) could significantly change RE. Performing RE activities such as elicitation with the crowd of stakeholders turns RE into a participatory effort, leads to more accurate ...