Towards a Taxonomy for Autonomy in Large-Scale Agile Software Development

March 04, 2025 Β· Declared Dead Β· πŸ› IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies

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Authors Casper Lassenius, Torgeir DingsΓΈyr arXiv ID 2503.02651 Category cs.SE: Software Engineering Citations 0 Venue IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies Last Checked 5 months ago
Abstract
Agile development relies on self-organizing teams having a high degree of autonomy. For single-team development, more autonomy is generally considered better. In large-scale agile development, where several teams collaborate on the same software with technical and social dependencies, finding the right balance between autonomy and organizational control becomes critical. To this end, it is helpful to have a framework that helps reason about autonomy to help map out to what degree teams can be autonomous, and in what aspects that autonomy needs to be restricted. This paper presents our work towards building a framework for autonomy in large-scale agile development. The preliminary version identifies five levels, and 21 categories of autonomy grouped into three areas. These aspects of autonomy can be taken into account when analyzing or defining the limits of autonomy in large-scale agile software development. The use of the framework is illustrated with an example.
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