Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Anna Perini"'
Autor:
Anna Perini, Kurt Schneider, Linda Marilena Bertolli, Angelo Susi, Artem Gabbasov, Paolo Busetta, Matteo Pedrotti
Publikováno v:
Multimedia Tools and Applications.
Autor:
Jubril Gbolahan Adigun, Matteo Camilli, Michael Felderer, Andrea Giusti, Dominik T. Matt, Anna Perini, Barbara Russo, Angelo Susi
Publikováno v:
Computer. 55:52-63
Collaborative AI systems (CAISs) aim at working together with humans in a shared space to achieve a common goal. This critical setting yields hazardous circumstances that could harm human beings. Thus, building such systems with strong assurances of
Publikováno v:
2022 IEEE 30th International Requirements Engineering Conference (RE).
Publikováno v:
Information Systems. 114:102181
Publikováno v:
Empirical Software Engineering. 27
Publikováno v:
Empirical Software Engineering. 27
App reviews found in app stores can provide critically valuable information to help software engineers understand user requirements and to design, debug, and evolve software products. Over the last ten years, a vast amount of research has been produc
Publikováno v:
Research Challenges in Information Science ISBN: 9783031057595
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6ecb3ad453f5321cc303e74ca44a021
https://doi.org/10.1007/978-3-031-05760-1_24
https://doi.org/10.1007/978-3-031-05760-1_24
Publikováno v:
Information Systems. 86:94-112
Online discussions about software applications and services that take place on web-based communication platforms represent an invaluable knowledge source for diverse software engineering tasks, including requirements elicitation. The amount of resear
Autor:
Alberto Siena, Itzel Morales-Ramirez, Angelo Susi, Fitsum Meshesha Kifetew, Anna Perini, Denisse Muñante
Publikováno v:
Information and Software Technology
Information and Software Technology, Elsevier, 2021, 138, pp.106635:1-106635:16. ⟨10.1016/j.infsof.2021.106635⟩
Information and Software Technology, Elsevier, 2021, 138, pp.106635:1-106635:16. ⟨10.1016/j.infsof.2021.106635⟩
Context: Feedback from end users of software applications is a valuable resource in understanding what users request, what they value, and what they dislike. Information derived from user-feedback can support software evolution activities, such as re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd15caa750c18c96b05bb1a255207bb9
https://hal.archives-ouvertes.fr/hal-03277970
https://hal.archives-ouvertes.fr/hal-03277970
Publikováno v:
RE Workshops
This extended abstract summarises the paper titled Specifying Requirements for Data Collection and Analysis in Data-Driven RE. A Research Preview, which as been presented at the 27th International Working Conference REFSQ 2021 [1].