Controlled Experimentation in Continuous Experimentation: Knowledge and Challenges

TL;DR

This paper synthesizes research on continuous experimentation, highlighting core framework components, solutions, challenges, and benefits, based on a comprehensive review of 128 relevant studies in the field.

Contribution

It provides a structured synthesis of existing research, identifying key framework constituents, solutions, and challenges in continuous experimentation.

Findings

Framework includes experimentation processes and supportive infrastructure.

Nine thematic solution areas such as experiment design and automation.

Challenges span cultural, organizational, technical, and ethical domains.

Abstract

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. Method: 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. Conclusions: 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.