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Adopting flow analytics in software development projects

Published:25 October 2017Publication History

ABSTRACT

Anecdotal evidence suggests that use and effectiveness of flow tools and analytics is rapidly increasing across the software community. The differentiating feature of flow methods is their speed, epitomised by terms such as lead-time, cycle time, and cost of delay. Yet, existing research tends to largely focuses on the textbook version of flow, rather than any rigorous examination of its use in the turbulent and constantly changing 'real world' environment within which it is applied. This is a significant limitation given that software development is a highly metric oriented, complex and socially embedded activity. This study draws on a single case with four software development teams to identify the benefits realized when flow practices and analytics are integrated with a contemporary business intelligence and analytical software. It also provides an immediate practical contribution by identifying a set of lessons drawn from the case studied that may be applicable in future implementations of flow tools and analytics and the lessons learned can then be tailored and applied to other software development contexts.

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      cover image ACM Other conferences
      IWSM Mensura '17: Proceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement
      October 2017
      273 pages
      ISBN:9781450348539
      DOI:10.1145/3143434

      Copyright © 2017 ACM

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      New York, NY, United States

      Publication History

      • Published: 25 October 2017

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