Clone detection in automotive model-based development
Model-based development is becoming an increasingly common development methodology. In important domains like embedded systems already major parts of the code are generated from models specified with domain-specific modelling languages. Hence, such models are nowadays an integral part of the softwar...
Saved in:
| Published in: | 2008 ACM/IEEE 30th International Conference on Software Engineering Vol. 2008; no. 24; pp. 603 - 612 |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Conference Proceeding Journal Article |
| Language: | English |
| Published: |
IEEE
01.01.2008
|
| Subjects: | |
| ISBN: | 1424444861, 9781424444861, 1605580791, 9781605580791 |
| ISSN: | 0270-5257 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Model-based development is becoming an increasingly common development methodology. In important domains like embedded systems already major parts of the code are generated from models specified with domain-specific modelling languages. Hence, such models are nowadays an integral part of the software development and maintenance process and therefore have a major economic and strategic value for the software-developing organisations. Nevertheless almost no work has been done on a quality defect that is known to seriously hamper maintenance productivity in classic code-based development. This paper presents an approach for the automatic detection of clones in large models as they are used in model-based development of control systems. The approach is based on graph theory and hence can be applied to most graphical data-flow languages. An industrial case study demonstrates the applicability of our approach for the detection of clones in Matlab/Simulink models that are widely used in model-based development of embedded systems in the automotive domain. |
|---|---|
| Bibliography: | SourceType-Scholarly Journals-2 ObjectType-Feature-2 ObjectType-Conference Paper-1 content type line 23 SourceType-Conference Papers & Proceedings-1 ObjectType-Article-3 |
| ISBN: | 1424444861 9781424444861 1605580791 9781605580791 |
| ISSN: | 0270-5257 |
| DOI: | 10.1145/1368088.1368172 |

