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AI-powered model repair: an experience report—lessons learned, challenges, and opportunities.

Authors :
Barriga, Angela
Rutle, Adrian
Heldal, Rogardt
Source :
Software & Systems Modeling; Jun2022, Vol. 21 Issue 3, p1135-1157, 23p
Publication Year :
2022

Abstract

Artificial intelligence has already proven to be a powerful tool to automate and improve how we deal with software development processes. The application of artificial intelligence to model-driven engineering projects is becoming more and more popular; however, within the model repair field, the use of this technique remains mostly an open challenge. In this paper, we explore some existing approaches in the field of AI-powered model repair. From the existing approaches in this field, we identify a series of challenges which the community needs to overcome. In addition, we present a number of research opportunities by taking inspiration from other fields which have successfully used artificial intelligence, such as code repair. Moreover, we discuss the connection between the existing approaches and the opportunities with the identified challenges. Finally, we present the outcomes of our experience of applying artificial intelligence to model repair. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16191366
Volume :
21
Issue :
3
Database :
Complementary Index
Journal :
Software & Systems Modeling
Publication Type :
Academic Journal
Accession number :
156499847
Full Text :
https://doi.org/10.1007/s10270-022-00983-5