The Benefits of Controlled Experimentation at Scale
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Jan Bosch | Helena Holmström Olsson | Pavel Dmitriev | Aleksander Fabijan | Pavel A. Dmitriev | J. Bosch | H. H. Olsson | Aleksander Fabijan
[1] Per Runeson,et al. Guidelines for conducting and reporting case study research in software engineering , 2009, Empirical Software Engineering.
[2] Robert C. Martin. Agile Software Development, Principles, Patterns, and Practices , 2002 .
[3] Steven M. Drucker,et al. The Bones of the System: A Case Study of Logging and Telemetry at Microsoft , 2016, 2016 IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE-C).
[4] Ron Kohavi,et al. Online controlled experiments at large scale , 2013, KDD.
[5] V. Ridgway. Dysfunctional Consequences of Performance Measurements , 1956 .
[6] Jürgen Münch,et al. Raising the odds of success: the current state of experimentation in product development , 2016, Inf. Softw. Technol..
[7] Alex Deng,et al. Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned , 2016, KDD.
[8] Aleksander Fabijan. Developing the right features: the role and impact of customer and product data in software product development , 2016 .
[9] Henk Thierry,et al. How leaders stimulate employee learning: A leader-member exchange approach , 2010 .
[10] Jan Bosch,et al. Towards Continuous Customer Validation: A Conceptual Model for Combining Qualitative Customer Feedback with Quantitative Customer Observation , 2015, ICSOB.
[11] Dong Woo Kim,et al. A Dirty Dozen: Twelve Common Metric Interpretation Pitfalls in Online Controlled Experiments , 2017, KDD.
[12] Ron Kohavi,et al. Pitfalls of long-term online controlled experiments , 2016, 2016 IEEE International Conference on Big Data (Big Data).
[13] James S. Noble,et al. The changing basis of performance measurement , 1996 .
[14] Colin Robson,et al. Real World Research: A Resource for Social Scientists and Practitioner-Researchers , 1993 .
[15] Ron Kohavi,et al. Seven pitfalls to avoid when running controlled experiments on the web , 2009, KDD.
[16] Jan Bosch,et al. Time to Say 'Good Bye': Feature Lifecycle , 2016, 2016 42th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).
[17] E. A. Locke,et al. Building a practically useful theory of goal setting and task motivation. A 35-year odyssey. , 2002, The American psychologist.
[18] Fabian Fagerholm,et al. Building blocks for continuous experimentation , 2014, RCoSE 2014.
[19] Lech Madeyski,et al. Software Engineering Needs Agile Experimentation: A New Practice and Supporting Tool , 2016, KKIO Software Engineering Conference.
[20] P. Schroeder. The Goal: A Process of Ongoing Improvement , 1994 .
[21] Jan Bosch,et al. The HYPEX Model: From Opinions to Data-Driven Software Development , 2014, Continuous Software Engineering.
[22] Jan Bosch,et al. User involvement throughout the innovation process in high-tech industries , 2015 .
[23] Jürgen Münch,et al. The RIGHT Model for Continuous Experimentation , 2017, Software Engineering.
[24] Ashish Agarwal,et al. Overlapping experiment infrastructure: more, better, faster experimentation , 2010, KDD.
[25] Ron Kohavi,et al. Trustworthy online controlled experiments: five puzzling outcomes explained , 2012, KDD.
[26] Michael S. Bernstein,et al. Designing and deploying online field experiments , 2014, WWW.
[27] Ron Kohavi,et al. Responsible editor: R. Bayardo. , 2022 .
[28] Jürgen Münch,et al. Continuous Experimentation in the B2B Domain: A Case Study , 2014, 2015 IEEE/ACM 2nd International Workshop on Rapid Continuous Software Engineering.
[29] Kai Petersen,et al. Waste and Lead Time Reduction in a Software Product Customization Process with Value Stream Maps , 2010, 2010 21st Australian Software Engineering Conference.
[30] Ron Kohavi,et al. Online Controlled Experiments and A / B Tests , 2015 .
[31] Miryung Kim,et al. The Emerging Role of Data Scientists on Software Development Teams , 2016, 2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE).
[32] E. A. Locke,et al. Goal setting and task performance: 1969–1980. , 1981 .
[33] George Castellion. Do It Wrong Quickly: How the Web Changes the Old Marketing Rules by Mike Moran , 2008 .
[34] Dan Siroker,et al. A/B Testing: The Most Powerful Way to Turn Clicks Into Customers , 2013 .
[35] Jan Bosch,et al. From Opinions to Data-Driven Software R&D: A Multi-case Study on How to Close the 'Open Loop' Problem , 2014, 2014 40th EUROMICRO Conference on Software Engineering and Advanced Applications.
[36] Hilary Hutchinson,et al. Measuring the user experience on a large scale: user-centered metrics for web applications , 2010, CHI.
[37] Xian Wu,et al. Measuring Metrics , 2016, CIKM.
[38] Jan Bosch,et al. The Evolution of Continuous Experimentation in Software Product Development: From Data to a Data-Driven Organization at Scale , 2017, 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE).
[39] Fabien Girardin,et al. When User Experience Designers Partner with Data Scientists , 2017, AAAI Spring Symposia.
[40] Diane Tang,et al. Focusing on the Long-term: It's Good for Users and Business , 2015, KDD.
[41] Richard Craig Van Nostrand,et al. Design of Experiments Using the Taguchi Approach: 16 Steps to Product and Process Improvement , 2002, Technometrics.
[42] Jan Bosch,et al. Climbing the "Stairway to Heaven" -- A Mulitiple-Case Study Exploring Barriers in the Transition from Agile Development towards Continuous Deployment of Software , 2012, 2012 38th Euromicro Conference on Software Engineering and Advanced Applications.
[43] Jan Bosch,et al. Customer Feedback and Data Collection Techniques in Software R&D: A Literature Review , 2015, ICSOB.
[44] Ron Kohavi,et al. Seven rules of thumb for web site experimenters , 2014, KDD.
[45] Brijesh Singh,et al. The Lean Startup:How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses , 2016 .
[46] Pasi Kuvaja,et al. Continuous deployment of software intensive products and services: A systematic mapping study , 2017, J. Syst. Softw..