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Experimentation that matters: A multi-case study on the challenges with A/B testing

, , and . International Conference of Software Business, 304, page 179-185. Springer, Cham, (2017)
DOI: 10.1007/978-3-319-69191-6_12

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Experimentation growth: Evolving trustworthy A/B testing capabilities in online software companies., , , , , and . Journal of Software: Evolution and Process, (2018)It takes a Flywheel to Fly: Kickstarting and Growing the A/B testing Momentum at Scale., , , and . SEAA, page 109-118. IEEE, (2021)Early Value Argumentation and Prediction: An Iterative Approach to Quantifying Feature Value., , and . PROFES, volume 9459 of Lecture Notes in Computer Science, page 16-23. Springer, (2015)A/B Integrations: 7 Lessons Learned from Enabling A/B testing as a Product Feature., , , , , and . ICSE-SEIP, page 304-314. IEEE, (2023)Safe velocity: a practical guide to software deployment at scale using controlled rollout., , , and . ICSE (SEIP), page 11-20. IEEE / ACM, (2019)The Benefits of Controlled Experimentation at Scale., , , and . SEAA, page 18-26. IEEE Computer Society, (2017)Diagnosing Sample Ratio Mismatch in Online Controlled Experiments: A Taxonomy and Rules of Thumb for Practitioners., , , , , , and . KDD, page 2156-2164. ACM, (2019)An Activity and Metric Model for Online Controlled Experiments., , , , and . PROFES, volume 11271 of Lecture Notes in Computer Science, page 182-198. Springer, (2018)Enterprise-Level Controlled Experiments at Scale: Challenges and Solutions., , , , , , and . SEAA, page 29-37. IEEE, (2019)Effective Online Controlled Experiment Analysis at Large Scale., , , and . SEAA, page 64-67. IEEE Computer Society, (2018)