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A Nominal Group Interview Technique to Support Lightweight Process Assessments: Description and Experience Report

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Software Process Improvement and Capability Determination (SPICE 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 609))

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Abstract

This paper describes a group interview technique designed to support lightweight process assessments while promoting at the same time collaboration among assessment participants. The method was successfully used in one consulting assignment were it got previously discording participants, talking to each other and agreeing on the issues. The technique borrows from agile software development the concept of user stories to cast CMMI’s specific practices in concrete terms and the Planning Poker technique, instead of document reviews and audit like interviews, for fact finding and corroboration.

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Notes

  1. 1.

    Standard CMMI Appraisal Method for Process Improvement (SCAMPI) is a family of appraisal methods developed by the Software Engineering Institute (SCAMPI Upgrade Team 2011).

  2. 2.

    In this we differ from SCAMPI which tries to be totally data driven. We believe the experience of the assessor is relevant especially in a process improvement setting.

  3. 3.

    ISO/IEC 33000 is a new series of standards for software process assessment that replaces the 15504 series published by the International Organization for Standardization.

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Correspondence to Eduardo Miranda .

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© 2016 Springer International Publishing Switzerland

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Miranda, E. (2016). A Nominal Group Interview Technique to Support Lightweight Process Assessments: Description and Experience Report. In: Clarke, P., O'Connor, R., Rout, T., Dorling, A. (eds) Software Process Improvement and Capability Determination. SPICE 2016. Communications in Computer and Information Science, vol 609. Springer, Cham. https://doi.org/10.1007/978-3-319-38980-6_14

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  • DOI: https://doi.org/10.1007/978-3-319-38980-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-38979-0

  • Online ISBN: 978-3-319-38980-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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