Software reconstruction is a costly endeavor, due in part to the ambiguity of where to focus reengineering effort. Cohesion metrics, and particularly quantitative cohesion metrics, have the potential to aid in this identification and to measure progress. The most extensive work on such metrics is with slice-based cohesion metrics. While their use of semantic dependence information should make them an excellent choice for cohesion measurement, their wide spread use has been impeded by a lack of empirical study. Recent advances in software tools make, for the first time, a large-scale empirical study of slice-based cohesion metrics possible. Three results from such a study are presented. First, base-line values for slice-based metrics are provided. These values act as targets for reengineering efforts with modules having values outside the expected range being the most in need of attention. Second, two longitudinal studies show that slice-based metrics quantify the deterioration of a program as it ages. This serves to validate the metrics: the metrics quantify the degradation that exists during development; turning this around, the metrics can be used to measure the progress of a reengineering effort. Finally, "head-to-head" qualitative and quantitative comparisons of the metrics identify which metrics provide similar views of a program and which provide unique views of a program.
{"title":"Slice-based cohesion metrics and software intervention","authors":"Timothy M. Meyers, D. Binkley","doi":"10.1109/WCRE.2004.34","DOIUrl":"https://doi.org/10.1109/WCRE.2004.34","url":null,"abstract":"Software reconstruction is a costly endeavor, due in part to the ambiguity of where to focus reengineering effort. Cohesion metrics, and particularly quantitative cohesion metrics, have the potential to aid in this identification and to measure progress. The most extensive work on such metrics is with slice-based cohesion metrics. While their use of semantic dependence information should make them an excellent choice for cohesion measurement, their wide spread use has been impeded by a lack of empirical study. Recent advances in software tools make, for the first time, a large-scale empirical study of slice-based cohesion metrics possible. Three results from such a study are presented. First, base-line values for slice-based metrics are provided. These values act as targets for reengineering efforts with modules having values outside the expected range being the most in need of attention. Second, two longitudinal studies show that slice-based metrics quantify the deterioration of a program as it ages. This serves to validate the metrics: the metrics quantify the degradation that exists during development; turning this around, the metrics can be used to measure the progress of a reengineering effort. Finally, \"head-to-head\" qualitative and quantitative comparisons of the metrics identify which metrics provide similar views of a program and which provide unique views of a program.","PeriodicalId":443491,"journal":{"name":"11th Working Conference on Reverse Engineering","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121478030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We discuss the experiences gained in a large-scale industrial reengineering project. The subject system is a medical data management software that has been continuously developed and maintained for about twenty years. About four years ago, it has been decided to subsequently reimplement the entire system in Java, while continuing maintenance of the legacy system. The focus of This work is less on technical details concerning reverse engineering tools, but rather on the overall approach for reengineering a large and complex legacy system. Central issues are the identification and definition of a suitable software development process, training for the developers, as well as the ongoing reverse engineering of the existing system. The latter has been carried out in parallel to continuous maintenance of both the legacy system and the reimplementation.
{"title":"Experiences with an industrial long-term reengineering project","authors":"Ralf Kollmann","doi":"10.1109/WCRE.2004.19","DOIUrl":"https://doi.org/10.1109/WCRE.2004.19","url":null,"abstract":"We discuss the experiences gained in a large-scale industrial reengineering project. The subject system is a medical data management software that has been continuously developed and maintained for about twenty years. About four years ago, it has been decided to subsequently reimplement the entire system in Java, while continuing maintenance of the legacy system. The focus of This work is less on technical details concerning reverse engineering tools, but rather on the overall approach for reengineering a large and complex legacy system. Central issues are the identification and definition of a suitable software development process, training for the developers, as well as the ongoing reverse engineering of the existing system. The latter has been carried out in parallel to continuous maintenance of both the legacy system and the reimplementation.","PeriodicalId":443491,"journal":{"name":"11th Working Conference on Reverse Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130738578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Garcia, D. Lucrédio, A. F. Prado, Alexandre Alvaro, E. Almeida
Currently, the demand for the reverse engineering has been growing significantly. The need of different business sectors to adapt their systems to Web or to use other technologies is stimulating the research for methods, tools and infrastructures that support the evolution of existing applications. We present the main research trends on reverse engineering, and discuss how should be an efficient reverse engineering approach, aiming at higher reuse levels.
{"title":"Towards an effective approach for reverse engineering","authors":"V. Garcia, D. Lucrédio, A. F. Prado, Alexandre Alvaro, E. Almeida","doi":"10.1109/WCRE.2004.39","DOIUrl":"https://doi.org/10.1109/WCRE.2004.39","url":null,"abstract":"Currently, the demand for the reverse engineering has been growing significantly. The need of different business sectors to adapt their systems to Web or to use other technologies is stimulating the research for methods, tools and infrastructures that support the evolution of existing applications. We present the main research trends on reverse engineering, and discuss how should be an efficient reverse engineering approach, aiming at higher reuse levels.","PeriodicalId":443491,"journal":{"name":"11th Working Conference on Reverse Engineering","volume":"257 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132223120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The evaluation of results obtained from software clustering algorithms has attracted the attention of many reverse engineering researchers. Several methods that compare flat decompositions of software systems have been presented in the literature. However, software clustering algorithms often produce nested decompositions. Converting nested decompositions to flat ones in order to compare them may remove significant information. We introduce a framework called END that reuses comparison methods for flat decompositions in order to compare nested decompositions without loss of information. We also present experimental results with END using several existing methods as plugins that demonstrate its usefulness.
{"title":"A framework for the comparison of nested software decompositions","authors":"Mark Shtern, Vassilios Tzerpos","doi":"10.1109/WCRE.2004.6","DOIUrl":"https://doi.org/10.1109/WCRE.2004.6","url":null,"abstract":"The evaluation of results obtained from software clustering algorithms has attracted the attention of many reverse engineering researchers. Several methods that compare flat decompositions of software systems have been presented in the literature. However, software clustering algorithms often produce nested decompositions. Converting nested decompositions to flat ones in order to compare them may remove significant information. We introduce a framework called END that reuses comparison methods for flat decompositions in order to compare nested decompositions without loss of information. We also present experimental results with END using several existing methods as plugins that demonstrate its usefulness.","PeriodicalId":443491,"journal":{"name":"11th Working Conference on Reverse Engineering","volume":"119 28","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131913852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This work describes source-code independent reverse engineering of dynamic Web sites. The tool Revangie constructs a form-oriented analysis model solely from the usage of a Web application. The recovered models can be, for example, exploited for the purpose of requirements engineering and load test development. Revangie can explore a given Web application fully automatically or can passively record its usages. The collected data, i.e., data about screens, server-side programs, and system responsiveness, are analyzed in order to build a user interface model. The paper presents several useful classification techniques that can be utilized to reconstruct adequate models.
{"title":"Generator code opaque recovery of form-oriented Web site models","authors":"D. Draheim, C. Lutteroth, Gerald Weber","doi":"10.1109/WCRE.2004.22","DOIUrl":"https://doi.org/10.1109/WCRE.2004.22","url":null,"abstract":"This work describes source-code independent reverse engineering of dynamic Web sites. The tool Revangie constructs a form-oriented analysis model solely from the usage of a Web application. The recovered models can be, for example, exploited for the purpose of requirements engineering and load test development. Revangie can explore a given Web application fully automatically or can passively record its usages. The collected data, i.e., data about screens, server-side programs, and system responsiveness, are analyzed in order to build a user interface model. The paper presents several useful classification techniques that can be utilized to reconstruct adequate models.","PeriodicalId":443491,"journal":{"name":"11th Working Conference on Reverse Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129852516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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