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Improving Conflict Detection in Optimistic Concurrency Control Models

  • Conference paper
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Software Configuration Management (SCM 2001, SCM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2649))

Abstract

Configuration Management is required in all software development processes. To support ‘agile’ methodologies, an approach is desirable that allows developers to work as independently as possible and yet be aware of each other’s activities. Optimistic concurrency control provides good support for independent working but is less supportive of communication. This paper looks at the relationship between the optimistic approach and the needs of the agile philosophy. In particular, it examines support facilities provided by the Concurrent Versions System (CVS) and identifies possible improvements in conflict detection to aid communication. The design and construction of a prototype extension to CVS, implementing some of these enhancements, is described.

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Author information

Authors and Affiliations

  1. School of Computing and Information Engineering, University of Ulster, Coleraine, BT52 1SA, Northern Ireland

    Ciaran O’Reilly, Philip Morrow & David Bustard

Authors
  1. Ciaran O’Reilly
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  2. Philip Morrow
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  3. David Bustard
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Editor information

Editors and Affiliations

  1. Informatik III, RWTH Aachen, 52056, Aachen, Germany

    Bernhard Westfechtel

  2. School of Information and Computer Science, University of California, 444 Computer Science Building, Irvine, CA, 92697-3425, USA

    André van der Hoek

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© 2003 Springer-Verlag Berlin Heidelberg

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O’Reilly, C., Morrow, P., Bustard, D. (2003). Improving Conflict Detection in Optimistic Concurrency Control Models. In: Westfechtel, B., van der Hoek, A. (eds) Software Configuration Management. SCM SCM 2001 2003. Lecture Notes in Computer Science, vol 2649. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39195-9_14

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  • DOI: https://doi.org/10.1007/3-540-39195-9_14

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-14036-8

  • Online ISBN: 978-3-540-39195-1

  • eBook Packages: Springer Book Archive

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