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Qualitative Survey-Based Content Analysis and Validation of Measures of Software Development Team Performance

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Information Intelligence, Systems, Technology and Management (ICISTM 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 141))

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Abstract

Performance measurement of software development teams is an elusive and complex issue. Many IT organizations have tried evolving their own measures without focus on reliability and validity. There is yet no widely accepted scale for measuring software development team performance (SDTP). An examination of available measurement models of team performance/team effectiveness throws up gaps that call for identification and synchronization of dimensions. Based on expert surveys, this paper attempts to identify and short-list a set of content-validated dimensions of SDTP. First, SPSS Text Analysis package was used to content-analyze 94 industry experts’ textual responses to an open-ended qualitative survey questionnaire, which led to extraction, categorization and short-listing of 34 measures of SDTP. Then followed another round of expert survey (N=30) that led to a distilled set of 20 content-validated measures of SDTP, based on Content Validity Ratios. This list of measures should help future research for SDTP scale development.

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Author information

Authors and Affiliations

  1. XLRI Jamshedpur, India

    Amar Nath Chatterjee & Duraipandian Israel

Authors
  1. Amar Nath Chatterjee
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  2. Duraipandian Israel
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Editors and Affiliations

  1. Computer Science, College of Engineering and Science, Louisiana Tech University, 71272, Ruston, LA, USA

    Sumeet Dua

  2. CISE Department, CSE 301, University of Florida, 32611, Gainesville, FL, USA

    Sartaj Sahni

  3. Management Development Institute, 122 007, Sukhrali, Gurgaon, India

    D. P. Goyal

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Chatterjee, A.N., Israel, D. (2011). Qualitative Survey-Based Content Analysis and Validation of Measures of Software Development Team Performance. In: Dua, S., Sahni, S., Goyal, D.P. (eds) Information Intelligence, Systems, Technology and Management. ICISTM 2011. Communications in Computer and Information Science, vol 141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19423-8_31

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  • DOI: https://doi.org/10.1007/978-3-642-19423-8_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19422-1

  • Online ISBN: 978-3-642-19423-8

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