Towards Evidence-Based Organizations: Learnings From Embedded Systems, Online Games And Internet of Things

One of the prevailing trends in software-intensive companies is the adoption of data driven development practices. Across domains, companies increasingly collect and use data to support development and decision-making activities. In this paper, we study how companies in three domains transition towa...

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Veröffentlicht in:IEEE software S. 1
Hauptverfasser: Bosch, Jan, Olsson, Helena
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 16.06.2017
Schlagworte:
Companies
D Software/Software Engineering
D.2 Software Engineering
D.2.18 Software Engineering Process
Data collection
Decision making
Embedded systems
Games
Internet of Things
K Computing Milieux
K.6 Management of Computing and Information Systems
K.6.3 Software Management
K.6.3.a Software development
K.6.3.c Software process
ISSN:0740-7459
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Zusammenfassung:One of the prevailing trends in software-intensive companies is the adoption of data driven development practices. Across domains, companies increasingly collect and use data to support development and decision-making activities. In this paper, we study how companies in three domains transition towards data driven development practices where continuous collection and analysis of data inform R&D and management. Currently, the game development and IoT companies are more advanced in terms of data collection and analysis, but these practices are rapidly gaining momentum also in the embedded systems domain. Based on our research, we develop a model in which we detail a set of levels that software-intensive companies typically move through as they transition from 'ad-hoc' collection of data towards an 'evidence-based' organization in which data informs all processes in the organization.
ISSN:0740-7459
DOI:10.1109/MS.2017.265095929