RE researchers have employed AI techniques to tackle different notions of requirements quality, have applied the techniques to different case studies and domains, and have used different metrics to assess the performance of their techniques. Given the pervasiveness of AI-based systems in our daily life, recent years have also seen an increasing need for RE techniques to support sound and structured development of AI system, with particular interest in explainability of system behaviour. The primary purpose of the AIRE workshop is to explore synergies between AI and RE in order to identify complex RE problems that could benefit from the application of AI techniques and the other way round, thus addressing RE for AI challenges. The edition of the workshop in 2022 received 6 submissions, which were independently reviewed by at least three program committee members. In the end, 5 papers were accepted. All the conflicts of interest were treated seriously and independently. The workshop takes place virtually on August 16, 2022. We hope that you enjoy the AIRE'22 workshop and its proceedings. We consider that in the days when AI is gaining prominence in our daily lives, the RE community cannot neglect the benefit that AI techniques can deliver to the practice of requirements engineering. The workshop will feature also two keynotes, from Fabiano Dalpiaz, from the University of Utrecht, the Netherlands, on Requirements Conversations: A New Frontier in Alfor-RE, and from Jennifer Horkoff, on Requirements Engineering for Machine Learning: Non-functional Requirements as Core Functions. We look forward to seeing you all at this workshop and the future editions. We are very grateful to the Program Committee members and authors of the submissions for their hard work and dedication in putting together this program. We would like to thank you all for your participation in AIRE'22.

AIRE 2022: 9th international workshop on Artificial Intelligence and Requirements Engineering

Ferrari A;
2022

Abstract

RE researchers have employed AI techniques to tackle different notions of requirements quality, have applied the techniques to different case studies and domains, and have used different metrics to assess the performance of their techniques. Given the pervasiveness of AI-based systems in our daily life, recent years have also seen an increasing need for RE techniques to support sound and structured development of AI system, with particular interest in explainability of system behaviour. The primary purpose of the AIRE workshop is to explore synergies between AI and RE in order to identify complex RE problems that could benefit from the application of AI techniques and the other way round, thus addressing RE for AI challenges. The edition of the workshop in 2022 received 6 submissions, which were independently reviewed by at least three program committee members. In the end, 5 papers were accepted. All the conflicts of interest were treated seriously and independently. The workshop takes place virtually on August 16, 2022. We hope that you enjoy the AIRE'22 workshop and its proceedings. We consider that in the days when AI is gaining prominence in our daily lives, the RE community cannot neglect the benefit that AI techniques can deliver to the practice of requirements engineering. The workshop will feature also two keynotes, from Fabiano Dalpiaz, from the University of Utrecht, the Netherlands, on Requirements Conversations: A New Frontier in Alfor-RE, and from Jennifer Horkoff, on Requirements Engineering for Machine Learning: Non-functional Requirements as Core Functions. We look forward to seeing you all at this workshop and the future editions. We are very grateful to the Program Committee members and authors of the submissions for their hard work and dedication in putting together this program. We would like to thank you all for your participation in AIRE'22.
2022
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
978-1-6654-6000-2
Requirements Engineering
Artificial Intelligence
Natural Language Processing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/412528
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