A. Sostaks, E. Kalniņa, A. Kalnins, E. Celms, Janis Iraids
{"title":"Solving the TTC 2011 Reengineering Case with MOLA and Higher-Order Transformations","authors":"A. Sostaks, E. Kalniņa, A. Kalnins, E. Celms, Janis Iraids","doi":"10.4204/EPTCS.74.15","DOIUrl":null,"url":null,"abstract":"The Reengineering Case of the Transformation Tool Contest 2011 deals with automatic extraction of state machine from Java source code. The transformation task involves complex, non-local matching of model elements. This paper contains the solution of the task using model transformation language MOLA. The MOLA solution uses higher-order transformations (HOT-s) to generate a part of the required MOLA program. The described HOT approach allows creating reusable, complex model transformation libraries for generic tasks without modifying an implementation of a model transformation language. Thus model transformation users who are not the developers of the language can achieve the desired functionality more easily.","PeriodicalId":266655,"journal":{"name":"Transformation Tool Contest","volume":"417 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transformation Tool Contest","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4204/EPTCS.74.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Reengineering Case of the Transformation Tool Contest 2011 deals with automatic extraction of state machine from Java source code. The transformation task involves complex, non-local matching of model elements. This paper contains the solution of the task using model transformation language MOLA. The MOLA solution uses higher-order transformations (HOT-s) to generate a part of the required MOLA program. The described HOT approach allows creating reusable, complex model transformation libraries for generic tasks without modifying an implementation of a model transformation language. Thus model transformation users who are not the developers of the language can achieve the desired functionality more easily.