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Towards Integrated Model-Driven Verification and Empirical Validation of Reusable Software Frameworks for Automotive Systems

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Book cover Model-Driven Development of Reliable Automotive Services (ASWSD 2006)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4922))

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Abstract

Software for automotive systems is rapidly increasing in complexity and scale, and leveraging reusable software frameworks in the development of these systems offers significant potential to reduce engineering costs and cycle times. However, the development of practical models and verification and validation techniques for automotive software built with reusable frameworks remains an open research challenge. This paper makes three main contributions to the state of the art in software engineering for automotive systems. First, it summarizes ways in which reusable software frameworks are relevant to automotive software engineering. Second, it describes an approach to verification and validation of reusable software frameworks which we have developed for other application domains. Third, it presents an evaluation of our approach in the context of an illustrative verification and validation scenario.

Research supported in part by NSF CAREER award CCF-0448562.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Washington University, St. Louis, MO, USA

    Venkita Subramonian & Christopher Gill

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  1. Venkita Subramonian
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  2. Christopher Gill
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Manfred Broy Ingolf H. Krüger Michael Meisinger

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Subramonian, V., Gill, C. (2008). Towards Integrated Model-Driven Verification and Empirical Validation of Reusable Software Frameworks for Automotive Systems . In: Broy, M., Krüger, I.H., Meisinger, M. (eds) Model-Driven Development of Reliable Automotive Services. ASWSD 2006. Lecture Notes in Computer Science, vol 4922. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70930-5_8

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  • DOI: https://doi.org/10.1007/978-3-540-70930-5_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70929-9

  • Online ISBN: 978-3-540-70930-5

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