Automated Planning for Resolving Model Inconsistencies – A Scalability Study

Jorge Pinna Puissant, Ragnhild Van Der Straeten, Tom Mens

Onderzoeksoutput: Meeting abstract (Book)

Samenvatting

Various approaches have been explored to detect and resolve software model inconsistencies. In this article, we outline our research that uses the artificial intelligence technique of automated planning for the purpose of resolving software model inconsistencies. We discuss the feasibility and scalability of a progression planner, and provide initial results of using a regression planner to improve the scalability.
Originele taal-2English
TitelIn Proc. of the International Workshop on Models and Evolution.
Pagina's63-72
Aantal pagina's10
StatusPublished - 2010
EvenementUnknown - Stockholm, Sweden
Duur: 21 sep 200925 sep 2009

Conference

ConferenceUnknown
Land/RegioSweden
StadStockholm
Periode21/09/0925/09/09

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