Paper Number
1107
Abstract
Empirical process control is an integral part of agile software development. A multitude of development metrics has been proposed to implement it. However, the efficacy of control metrics has remained unclear and empirical evidence of their impact is scarce. Methods for assessing whether and how a proposed metric stimulates the improvement of a development process are not yet available. We conduct a design science approach to develop an artifact that assesses the impact of development metrics and we identify their contribution for process improvement at a global software vendor. We draw on the theoretical construct of improvement capability to outline design principles of a measurement framework. Our evaluation of five large-scale agile development projects demonstrates that our framework facilitates to implement development metrics more effectively. The framework has the potential to improve large-scale agile software development and it serves as a useful basis for future empirical research on development metrics.
Recommended Citation
Roeck, Tobias; Hoffmann, Philipp; Spohrer, Kai; Schimmer, Tobias Christian; and Heinzl, Armin, "Assessing the Impact of Empirical Process Control Metrics in Agile Software Development - A Framework based on Improvement Capability" (2022). ECIS 2022 Research Papers. 22.
https://aisel.aisnet.org/ecis2022_rp/22
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