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| Content Provider | Springer Nature Link |
|---|---|
| Author | Chen, Jian Dean, Thomas R. Alalfi, Manar H. |
| Copyright Year | 2015 |
| Abstract | MATLAB Simulink is one of the leading tools for model-based software development in the automotive industry. One extension to Simulink is Stateflow, which allows the user to embed Statecharts as components in a Simulink model. These state machines contain nested states, an action language that describes events, guards, conditions, actions, and complex transitions. As Stateflow has become increasingly important in Simulink models for the automotive sector, we extend previous work on clone detection of Simulink models to Stateflow components. While Stateflow models are stored in the same file as the Simulink models that host them, the representations differ. Our approach incorporates a pretransformation that converts the Stateflow models into a form that allows us to use the SIMONE model clone detector to identify candidates and cluster them into classes. In addition, we push the results of the Stateflow clone detection back into the Simulink models, improving the accuracy of the clones found in the host Simulink models. We validated our approach on the MATLAB Simulink/Stateflow demo set. Our approach showed promising results on the identification of Stateflow clones in isolation, as well as integrated components of the Simulink models that are hosting them. |
| Starting Page | 917 |
| Ending Page | 946 |
| Page Count | 30 |
| File Format | |
| ISSN | 09639314 |
| Journal | Software Quality Journal |
| Volume Number | 24 |
| Issue Number | 4 |
| e-ISSN | 15731367 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2015-11-16 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Model State machine Stateflow Software Engineering/Programming and Operating Systems Programming Languages, Compilers, Interpreters Data Structures, Cryptology and Information Theory Operating Systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Safety, Risk, Reliability and Quality Media Technology Software |
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