Peopleware: productive projects and teams
Peopleware: productive projects and teams
A field study of the software design process for large systems
Communications of the ACM
Qualitative Methods in Empirical Studies of Software Engineering
IEEE Transactions on Software Engineering
Spice: The Theory and Practice of Software Process Improvement and Capability Determination
Spice: The Theory and Practice of Software Process Improvement and Capability Determination
Software Process Improvement Motivators: An Analysis using Multidimensional Scaling
Empirical Software Engineering
An Instrument for Measuring the Key Factors of Successin Software Process Improvement
Empirical Software Engineering
Software Engineering: Community and Culture
IEEE Software
Communication and Organization: An Empirical Study of Discussion in Inspection Meetings
IEEE Transactions on Software Engineering
An Ethnographic Study of XP Practice
Empirical Software Engineering
Using Metaphor to Analyse Qualitative Data: Vulcans and Humans in Software Development
Empirical Software Engineering
Some social factors of software engineering: the maverick, community and technical practices
HSSE '05 Proceedings of the 2005 workshop on Human and social factors of software engineering
Ethnographically-informed empirical studies of software practice
Information and Software Technology
Information and Software Technology
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This paper reports some results from a project to uncover the non-technical factors that affect the adoption and evolution of software quality management systems (SQMS). The data which the paper discusses comes from interviews with people involved in the quality effort in four different companies. Our approach to data collection was to use semi-structured interviews and to encourage interviewees to talk about their experiences of quality management and software development in their own organizations. We analysed this data using discourse analysis, informed by ethnographic observation, and identified a number of themes, one of which was the tensions that exist around the adoption and evolution of SQMS. In this paper, we present and discuss our approach to discourse analysis and some results that illustrate the tensions we found. We hope, thereby, to demonstrate how software engineers may use a technique from the social sciences to better understand their own practices.