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

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

doi:10.1145/3239235.3240505

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 volume › Conference contribution › Scientific › peer-review

11 Citations (Scopus)

674 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 language	English
Title of host publication	ESEM' 18
Subtitle of host publication	Proceedings of the 12th International Symposium on Empirical Software Engineering and Measurement
Place of Publication	New York
Publisher	ACM
Pages	1-10
Number of pages	10
ISBN (Print)	978-1-4503-5823-1
DOIs	https://doi.org/10.1145/3239235.3240505
Publication status	Published - 2018
Event	12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement: ESEM 2018 - Oulu, Finland Duration: 10 Oct 2018 → 12 Oct 2018 Conference number: 12

Conference

Conference	12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
Country/Territory	Finland
City	Oulu
Period	10/10/18 → 12/10/18

Bibliographical note

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

Keywords

Software Economics
Software Analytics
DevOps
Continuous Delivery
Experience Report
ING

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10.1145/3239235.3240505

TUD-SERG-2018-02Accepted author manuscript, 599 KB

Cite this

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title = "Software Analytics in Continuous Delivery: A Case Study on Success Factors",

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.",

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author = "Hennie Huijgens and Davide Spadini and Dick Stevens and Niels Visser and {van Deursen}, Arie",

note = "Acknowledgments: European Union{\textquoteright}s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 642954; 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement : ESEM 2018 ; Conference date: 10-10-2018 Through 12-10-2018",

year = "2018",

doi = "10.1145/3239235.3240505",

language = "English",

isbn = "978-1-4503-5823-1",

pages = "1--10",

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Huijgens, H, Spadini, D, Stevens, D, Visser, N & van Deursen, A 2018, Software Analytics in Continuous Delivery: A Case Study on Success Factors. in ESEM' 18: Proceedings of the 12th International Symposium on Empirical Software Engineering and Measurement., 25, ACM, New York, pp. 1-10, 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, Oulu, Finland, 10/10/18. https://doi.org/10.1145/3239235.3240505

Software Analytics in Continuous Delivery: A Case Study on Success Factors. / Huijgens, Hennie; Spadini, Davide; Stevens, Dick et al.
ESEM' 18: Proceedings of the 12th International Symposium on Empirical Software Engineering and Measurement. New York: ACM, 2018. p. 1-10 25.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Software Analytics in Continuous Delivery: A Case Study on Success Factors

AU - Huijgens, Hennie

AU - Spadini, Davide

AU - Stevens, Dick

AU - Visser, Niels

AU - van Deursen, Arie

N1 - Conference code: 12

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Software Economics

KW - Software Analytics

KW - DevOps

KW - Continuous Delivery

KW - Experience Report

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M3 - Conference contribution

SN - 978-1-4503-5823-1

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EP - 10

BT - ESEM' 18

PB - ACM

CY - New York

T2 - 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

Y2 - 10 October 2018 through 12 October 2018

ER -

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

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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