TY - GEN
T1 - Adopting flow analytics in software development projects
AU - Estevam, Alex
AU - Dennehy, Denis
AU - Conboy, Kieran
N1 - Publisher Copyright:
© 2017 Copyright is held by the owner/author(s).
PY - 2017/10/25
Y1 - 2017/10/25
N2 - 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.
AB - 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.
KW - Agile
KW - Analytics
KW - Flow
UR - https://www.scopus.com/pages/publications/85038375040
U2 - 10.1145/3143434.3143441
DO - 10.1145/3143434.3143441
M3 - Conference Publication
AN - SCOPUS:85038375040
T3 - ACM International Conference Proceeding Series
SP - 50
EP - 53
BT - Proceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement
PB - Association for Computing Machinery
T2 - 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement, IWSM Mensura 2017
Y2 - 25 October 2017 through 27 October 2017
ER -