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

Conference paper (2018)

Authors

D. Spadini Software Engineering - EEMCS
A. van Deursen Software Technology
Research Group
Software Engineering (EEMCS) (TU Delft)
Copyright: © 2018 H.K.M. Huijgens, D. Spadini, Dick Stevens, Niels Visser, A. van Deursen
DOI: https://doi.org/10.1145/3239235.3240505
DevOps Software Analytics Software Economics ING Continuous Delivery Experience Report
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Published Date

2018

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Software Engineering

Abstract

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.