NLP based verification of a UML class model

Sajjad, Rauf; Sarwar, Nadeem

doi:10.1109/intech.2016.7845070

Cited by 10 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this direction, several works have been proposed to automatically generate models from user requirements [89,90], transformation actions [91], and user stories [92]. Other authors [93] make use of NLP to verify the correctness of UML models and to recommend relevant domain concepts to rename metamodel elements [94].…”

Section: Natural Language Processing For Model Repairmentioning

confidence: 99%

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

2022

View full text Add to dashboard Cite

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.

show abstract