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

Hennie Huijgens, Davide Spadini, Dick Stevens, Niels Visser, Arie van Deursen

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

8 Citations (Scopus)
309 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationESEM' 18
Subtitle of host publicationProceedings of the 12th International Symposium on Empirical Software Engineering and Measurement
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages1-10
Number of pages10
ISBN (Print)978-1-4503-5823-1
DOIs
Publication statusPublished - 2018
Event12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement: ESEM 2018 - Oulu, Finland
Duration: 10 Oct 201812 Oct 2018
Conference number: 12

Conference

Conference12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
CountryFinland
CityOulu
Period10/10/1812/10/18

Keywords

  • Software Economics
  • Software Analytics
  • DevOps
  • Continuous Delivery
  • Experience Report
  • ING

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