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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Bibliographic Details
Published in:	IEEE software p. 1
Main Authors:	Bosch, Jan, Olsson, Helena
Format:	Journal Article
Language:	English
Published:	IEEE 16.06.2017
Subjects:	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
Online Access:	Get full text
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Summary:	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