Assessing the impact of empirical process control metrics in agile software development - A framework based on improvement capability


Röck, Tobias ; Hoffmann, Philipp ; Spohrer, Kai ; Schimmer, Tobias ; Heinzl, Armin



URL: https://aisel.aisnet.org/ecis2022_rp/22/
Additional URL: https://aisel.aisnet.org/ecis2022_rp/22/
Document Type: Conference or workshop publication
Year of publication: 2022
Book title: Proceedings of the 30th European Conference on Information Systems (ECIS): Timișoara, Romania, June 18-24, 2022
The title of a journal, publication series: Conference of the European Colloid and Interface Society (ECIS) : Research Papers
Volume: 2022, Paper 22
Page range: 1-15
Conference title: ECIS 2022
Location of the conference venue: Timișoara, Romania
Date of the conference: 18.-24.06.2022
Place of publication: Atlanta, GA
Publishing house: AISeL
Publication language: English
Institution: Außerfakultäre Einrichtungen > Institut für Enterprise Systems (InES)
Business School > ABWL, Organisation u. Wirtschaftsinformatik I (Heinzl)
Subject: 330 Economics
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.

Dieser Eintrag ist Teil der Universitätsbibliographie.




Metadata export


Citation


+ Search Authors in

+ Page Views

Hits per month over past year

Detailed information



You have found an error? Please let us know about your desired correction here: E-Mail


Actions (login required)

Show item Show item