Using genetic algorithms and coupling measures to devise optimal integration test orders
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
UML-Based Integration Testing for Component-Based Software
ICCBSS '03 Proceedings of the Second International Conference on COTS-Based Software Systems
An Investigation of Graph-Based Class Integration Test Order Strategies
IEEE Transactions on Software Engineering
Automatic generation of conformance tests from message sequence charts
SAM'02 Proceedings of the 3rd international conference on Telecommunications and beyond: the broader applicability of SDL and MSC
Comparing UML 2.0 interactions and MSC-2000
SAM'04 Proceedings of the 4th international SDL and MSC conference on System Analysis and Modeling
Framework for Data Aggregation and Insurance Service in Vehicle Telematics Using Multi-agents
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
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This paper presents an approach for the planning of integration tests of automotive telematics systems. To our knowledge no method for the determination of an integration order exists that takes the project and the system environment into account, which in our opinion greatly influence the integration order. Furthermore, most known test generation methods and structural quality measures demand syntactically sound specifications to be applied efficiently. In our projects Message Sequence Charts are often created manually from the scratch with many different tools, and therefore they are of rather low syntactical quality. This paper addresses the determination of an integration strategy, which can easily be adapted to changes in the project or in the system environment, and which can be manually applied to any given specification.