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...

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Vydané v:2008 ACM/IEEE 30th International Conference on Software Engineering Ročník 2008; číslo 24; s. 603 - 612
Hlavní autori: Deissenboeck, F., Hummel, B., Jurgens, E., Schatz, B., Wagner, S., Girard, J.-F., Teuchert, S.
Médium: Konferenčný príspevok.. Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 01.01.2008
Predmet:
Automatic control
Automotive engineering
clone detection
Cloning
Control system synthesis
data-flow
Embedded system
Graph theory
Mathematical model
matlab/simulink
model clone
Productivity
Programming
Software maintenance
ISBN:1424444861, 9781424444861, 1605580791, 9781605580791
ISSN:0270-5257
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Popis
Shrnutí: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.
Bibliografia:SourceType-Scholarly Journals-2
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ObjectType-Conference Paper-1
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SourceType-Conference Papers & Proceedings-1
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ISBN:1424444861
9781424444861
1605580791
9781605580791
ISSN:0270-5257
DOI:10.1145/1368088.1368172