G. Costagliola, A. D. Lucia, V. Deufemia, C. Gravino, M. Risi
{"title":"Case studies of visual language based design patterns recovery","authors":"G. Costagliola, A. D. Lucia, V. Deufemia, C. Gravino, M. Risi","doi":"10.1109/CSMR.2006.14","DOIUrl":null,"url":null,"abstract":"In this paper, we present case studies of recovering structural design patterns from object-oriented source code. The proposed recovery technique is based on the use of visual language parsing techniques, and is supported by a visual environment automatically produced by a grammar based visual environment generator. We have applied the recovery technique to public-domain programs and libraries obtaining encouraging results. In particular, for the considered software our recovery approach is characterized by higher recall and precision values with respect to other recovery techniques","PeriodicalId":443362,"journal":{"name":"Conference on Software Maintenance and Reengineering (CSMR'06)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Software Maintenance and Reengineering (CSMR'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSMR.2006.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
In this paper, we present case studies of recovering structural design patterns from object-oriented source code. The proposed recovery technique is based on the use of visual language parsing techniques, and is supported by a visual environment automatically produced by a grammar based visual environment generator. We have applied the recovery technique to public-domain programs and libraries obtaining encouraging results. In particular, for the considered software our recovery approach is characterized by higher recall and precision values with respect to other recovery techniques