A process model discovery approach for enabling model interoperability in signal engineering
Proceedings of the First International Workshop on Model-Driven Interoperability
Workflow validation framework in distributed engineering environments
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems
An analysis framework for ontology querying tools
Proceedings of the 9th International Conference on Semantic Systems
Modeling continuous integration practice differences in industry software development
Journal of Systems and Software
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For monitoring, controlling, and improving software development projects, project and quality managers need tool support to analyze engineering processes within development environments. Unfortunately, technical and semantic gaps between the engineering tools and related data models make it hard to observe and analyze the implemented tool-based engineering processes. In this paper we build on a service-oriented platform for technically and semantically integrating heterogeneous engineering tools and propose an approach to monitor, analyze, and improve tool-based engineering processes. We empirically evaluate the approach using the “continuous integration and test” process and discuss strengths and limitations. Major result was that the approach enabled comparing expected and real-life engineering processes with respect to process structure, performance of individual process steps, and risk of bottlenecks.