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Continuous A/B Testing in Containers

Published: 15 March 2019 Publication History

Abstract

Software version ranking plays an important role in improved user experience and software quality. A/B testing is a technique to distinguish between the popularity and usability of two quite similar versions (A and B) of a product, marketing strategy, search ad, etc. It is a kind of two-sample hypothesis testing, used in the field of statistics. This controlled experiment can evaluate user engagement or satisfaction with a new service, feature, or product. A/B testing is typically used in evaluation of user-experience design in software technology. DevOps is an emerging software methodology in which the development and operations are not independent processes, they affect each other. DevOps emphasizes the usage of virtualization technologies (e.g. containers). Docker is widely-used technology for containerization. In this paper, we deal with a new approach for regular A/B testing via Docker containers. Our solution provides an API that can be available from many DevOps tools. This approach is DevOps-style A/B testing because after the evaluation the better version remains in production.

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Cited By

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  • (2022)Exploration of DevOps testing process capabilitiesApplied Soft Computing10.1016/j.asoc.2021.108377116:COnline publication date: 1-Feb-2022
  • (2022)A/B Testing via Continuous Integration and Continuous DeliveryGeoinformatics and Data Analysis10.1007/978-3-031-08017-3_15(165-174)Online publication date: 10-Jun-2022
  • (2019)Containers in Software Development: A Systematic Mapping StudyProduct-Focused Software Process Improvement10.1007/978-3-030-35333-9_13(176-191)Online publication date: 18-Nov-2019

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ICGDA '19: Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis
March 2019
156 pages
ISBN:9781450362450
DOI:10.1145/3318236
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Department of Informatics, University of Oslo

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 March 2019

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Author Tags

  1. A/B testing
  2. DevOps
  3. Docker
  4. containers

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Cited By

View all
  • (2022)Exploration of DevOps testing process capabilitiesApplied Soft Computing10.1016/j.asoc.2021.108377116:COnline publication date: 1-Feb-2022
  • (2022)A/B Testing via Continuous Integration and Continuous DeliveryGeoinformatics and Data Analysis10.1007/978-3-031-08017-3_15(165-174)Online publication date: 10-Jun-2022
  • (2019)Containers in Software Development: A Systematic Mapping StudyProduct-Focused Software Process Improvement10.1007/978-3-030-35333-9_13(176-191)Online publication date: 18-Nov-2019

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