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Improving cloud-based continuous integration environments

Published: 16 May 2015 Publication History

Abstract

We propose a novel technique for improving the efficiency of cloud-based continuous integration development environments. Our technique identifies repetitive, expensive and time-consuming setup activities that are required to run integration and system tests in the cloud, and consolidates them into preconfigured testing virtual machines such that the overall costs of test execution are minimized. We create such testing machines by reconfiguring and opportunistically snapshotting the virtual machines already registered in the cloud.

References

[1]
S. Elbaum et al., "Techniques for improving regression testing in continuous integration development environments," in Proc. of the Intl. Symp. on Foundations of Software Engineering (FSE'14), 2014, pp. 235--245.
[2]
RightScale, Inc., "Dynamic scaling Jenkins in the cloud," http://www.rightscale.com/blog/cloud-management-best-practices/dynamic-scaling-jenkins-cloud.
[3]
K. Incki et al., "A survey of software testing in the cloud," in Proc. of the Intl. Conf. on Software Security and Reliability Companion (SERE-C'12), 2012, pp. 18--23.
[4]
S. van der Burg and E. Dolstra, "Automating system tests using declarative virtual machines," in Proc. of Intl. Symp. on Software Reliability Engineering (ISSRE'10), 2010, pp. 181--190.
[5]
T. Hanawa et al., "Large-scale software testing environment using cloud computing technology for dependable parallel and distributed systems," in Proc. of the Intl. Conf. on Software Testing, Verification, and Validation Workshops (ICSTW'10), 2010, pp. 428--433.
[6]
M. Harman et al., "Cloud engineering is search based software engineering too," Journal of Systems and Software, vol. 86, no. 9, pp. 2225--2241, Sep. 2013.

Cited By

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  • (2021)Reducing cost in continuous integration with a collection of build selection approachesProceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3468264.3473103(1650-1654)Online publication date: 20-Aug-2021
  • (2021)What helped, and what did not?Proceedings of the 43rd International Conference on Software Engineering10.1109/ICSE43902.2021.00031(213-225)Online publication date: 22-May-2021
  • (2020)A cost-efficient approach to building in continuous integrationProceedings of the ACM/IEEE 42nd International Conference on Software Engineering10.1145/3377811.3380437(13-25)Online publication date: 27-Jun-2020
  • Show More Cited By

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cover image ACM Conferences
ICSE '15: Proceedings of the 37th International Conference on Software Engineering - Volume 2
May 2015
1058 pages

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IEEE Press

Publication History

Published: 16 May 2015

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ICSE '15
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Overall Acceptance Rate 276 of 1,856 submissions, 15%

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View all
  • (2021)Reducing cost in continuous integration with a collection of build selection approachesProceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3468264.3473103(1650-1654)Online publication date: 20-Aug-2021
  • (2021)What helped, and what did not?Proceedings of the 43rd International Conference on Software Engineering10.1109/ICSE43902.2021.00031(213-225)Online publication date: 22-May-2021
  • (2020)A cost-efficient approach to building in continuous integrationProceedings of the ACM/IEEE 42nd International Conference on Software Engineering10.1145/3377811.3380437(13-25)Online publication date: 27-Jun-2020
  • (2019)Assessing transition-based test selection algorithms at GoogleProceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice10.1109/ICSE-SEIP.2019.00019(101-110)Online publication date: 27-May-2019
  • (2018)Redefining prioritizationProceedings of the 40th International Conference on Software Engineering10.1145/3180155.3180213(688-698)Online publication date: 27-May-2018

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