Software Analytics in Continuous Delivery: A Case Study on Success Factors

Software Analytics in Continuous Delivery: A Case Study on Success Factors

Huijgens, H.K.M. (ING)
Spadini, D. (TU Delft Software Engineering)
Stevens, Dick (ING)
Visser, Niels (ING)
van Deursen, A. (TU Delft Software Technology)

Software Technology

2018

Background: During the period of one year, ING developed an approach for software analytics within an environment of a large number of software engineering teams working in a Continuous Delivery as a Service setting. Goal: Our objective is to examine what factors helped and hindered the implementation of software analytics in such an environment, in order to improve future software analytics activities. Method: We analyzed artifacts delivered by the software analytics project, and performed semi-structured interviews with 15 stakeholders. Results: We identified 16 factors that helped the implementation of software analytics, and 20 factors that hindered the project. Conclusions: Upfront defining and communicating the aims, standardization of data at an early stage, build efficient visualizations, and an empirical approach help companies to improve software analytics projects.

Software Economics
Software Analytics
DevOps
Continuous Delivery
Experience Report
ING

http://resolver.tudelft.nl/uuid:9c5d1df6-e244-4fdc-933d-8bc36f9e3bd4

https://doi.org/10.1145/3239235.3240505

Association for Computing Machinery (ACM), New York

978-1-4503-5823-1

ESEM' 18: Proceedings of the 12th International Symposium on Empirical Software Engineering and Measurement

12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018-10-10 → 2018-10-12, Oulu, Finland

Acknowledgments: European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 642954

Institutional Repository

conference paper

© 2018 H.K.M. Huijgens, D. Spadini, Dick Stevens, Niels Visser, A. van Deursen