{"title":"Towards a tracing framework for Model-Driven software systems","authors":"Fazilat Hojaji, B. Zamani, A. Hamou-Lhadj","doi":"10.1109/ICCKE.2016.7802156","DOIUrl":null,"url":null,"abstract":"Understanding software behavior by analyzing its execution traces is an important enabler for many software engineering tasks. In Model-Driven Development (MDD), dynamic analysis methods are often used to analyze executable models to enable the understanding of software behavior in early stages of the development process. An execution trace of a model can provide information to help reason about executable models. However, understanding an execution trace is not an easy task due to the size and complexity of typical traces. In this work, we aim at tackling this problem by proposing a model tracing framework, comprising compaction techniques to simplify the analysis of large traces at a higher level of abstraction, and a model tracing language, to capture run-time behavior of the executed model adequately.","PeriodicalId":205768,"journal":{"name":"2016 6th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 6th International Conference on Computer and Knowledge Engineering (ICCKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCKE.2016.7802156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Understanding software behavior by analyzing its execution traces is an important enabler for many software engineering tasks. In Model-Driven Development (MDD), dynamic analysis methods are often used to analyze executable models to enable the understanding of software behavior in early stages of the development process. An execution trace of a model can provide information to help reason about executable models. However, understanding an execution trace is not an easy task due to the size and complexity of typical traces. In this work, we aim at tackling this problem by proposing a model tracing framework, comprising compaction techniques to simplify the analysis of large traces at a higher level of abstraction, and a model tracing language, to capture run-time behavior of the executed model adequately.
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