Skip to search boxSkip to navigationSkip to main content

Managing Cultural Variation in Software Process Improvement: a Comparison of Methods for Subculture Assessment

  • Sune Dueholm Mûller
    ,
  • Pernille Kræmmergaard
    ,
  • Lars Mathiassen
  • Terma
    ,
  • Aalborg University
    ,
  • Georgia State University
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Abstract

The scale and complexity of change in software process improvement (SPI) are considerable and managerial attention to organizational culture during SPI can therefore potentially contribute to successful outcomes. However, we know little about the impact of variations in organizational subculture on SPI initiatives. On this backdrop, we present an exploratory study of a large-scale SPI project in a Danish high-technology company, Terma. Two of its business units—Integrated Systems (ISY) and Airborne Systems (ASY)—followed similar approaches over a three-year period, but with quite different outcomes. While ISY reached capability maturity model integration (CMMI) level 2 as planned, ASY struggled to implement even modest improvements. To help explain these differences, we analyzed the underlying organizational culture within ISY and ASY using two different methods for subculture assessment. The study demonstrates how variations in culture across software organizations can have important implications for SPI outcomes. Furthermore, it provides insights into how software managers can practically assess subcultures to inform decisions about and help prepare plans for SPI initiatives.

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 584-599

Journal (Volume, Issue Number)

IEEE Transactions on Engineering Management (Volume 56, Issue 4)

Publication milestones

  • Published - 2009

Publication status

Published - 2009

ISSN

0018-9391

Publication IDs

  • Scopus: 70350708236

Publication metrics

PlumX, opens in new tab

Captures
73
Citation count
31