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Controlled experimentation in continuous experimentation : Knowledge and challenges
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- Auer, Florian (author)
- University of Innsbruck, AUT
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- Ros, Rasmus (author)
- Lund University,Lunds universitet,Programvarusystem,Institutionen för datavetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,Software Engineering Research Group,Department of Computer Science,Departments at LTH,Faculty of Engineering, LTH,Lund University, SWE
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- Kaltenbrunner, Lukas (author)
- University of Innsbruck, AUT
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- (creator_code:org_t)
- Elsevier B.V. 2021
- 2021
- English.
- In: Information and Software Technology. - : Elsevier B.V.. - 0950-5849 .- 1873-6025. ; 134
- Journal article (peer-reviewed)
Abstract
Subject headings
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- Context: Continuous experimentation and A/B testing is an established industry practice that has been researched for more than 10 years. Our aim is to synthesize the conducted research. Objective: We wanted to find the core constituents of a framework for continuous experimentation and the solutions that are applied within the field. Finally, we were interested in the challenges and benefits reported of continuous experimentation. Methods: We applied forward snowballing on a known set of papers and identified a total of 128 relevant papers. Based on this set of papers we performed two qualitative narrative syntheses and a thematic synthesis to answer the research questions. Results: The framework constituents for continuous experimentation include experimentation processes as well as supportive technical and organizational infrastructure. The solutions found in the literature were synthesized to nine themes, e.g. experiment design, automated experiments, or metric specification. Concerning the challenges of continuous experimentation, the analysis identified cultural, organizational, business, technical, statistical, ethical, and domain-specific challenges. Further, the study concludes that the benefits of experimentation are mostly implicit in the studies. Conclusion: The research on continuous experimentation has yielded a large body of knowledge on experimentation. The synthesis of published research presented within include recommended infrastructure and experimentation process models, guidelines to mitigate the identified challenges, and what problems the various published solutions solve. © 2021 The Authors
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Keyword
- A/B testing
- Continuous experimentation
- Online controlled experiments
- Systematic literature review
- Information systems
- Body of knowledge
- Controlled experimentation
- Domain specific
- Experiment design
- Industry practices
- Organizational infrastructure
- Process model
- Research questions
- Software engineering
- A/B testing
- Continuous experimentation
- Online controlled experiments
- Systematic literature review
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- ref (subject category)
- art (subject category)
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