On Using Active Learning and Self-training when Mining Performance Discussions on Stack Overflow. - Markus Borg; Iben Lennerstad; Rasmus Ros; Elizabeth Bjarnason (EASE, 2017)

A Machine Learning Approach for Semi-Automated Search and Selection in Literature Studies. - Rasmus Ros; Elizabeth Bjarnason; Per Runeson (EASE, 2017)

Automated Controlled Experimentation on Software by Evolutionary Bandit Optimization. - Rasmus Ros; Elizabeth Bjarnason; Per Runeson (SSBSE, 2017)

Continuous Experimentation Scenarios: A Case Study in e-Commerce. - Rasmus Ros; Elizabeth Bjarnason (SEAA, 2018)

Continuous experimentation and A/B testing: a mapping study. - Rasmus Ros; Per Runeson (RCoSE@ICSE, 2018)

Continuous Experimentation with Product-Led Business Models: A Comparative Case Study. - Rasmus Ros (ICSOB, 2020)

Data-driven software design with Constraint Oriented Multi-variate Bandit Optimization (COMBO). - Rasmus Ros; Mikael Hammar (Empir. Softw. Eng., 2020)

Controlled experimentation in continuous experimentation: Knowledge and challenges. - Florian Auer; Rasmus Ros; Lukas Kaltenbrunner; Per Runeson; Michael Felderer (Inf. Softw. Technol., 2021)

A/B Testing in the Small: An Empirical Exploration of Controlled Experimentation on Internal Tools. - Amalia Paulsson; Per Runeson; Rasmus Ros (PROFES, 2022)

Understanding and Improving Continuous Experimentation: From A/B Testing to Continuous Software Optimization. - Rasmus Ros (2022)

FuseRank (Demo): Filtered Vector Search in Multimodal Structured Data. - Dimitris Paraschakis; Rasmus Ros; Markus Borg; Per Runeson (ECML/PKDD (8), 2024)

Evidence-Based Guidelines for Advancing Continuous Experimentation. - Rasmus Ros; Per Runeson; Elizabeth Bjarnason (IT Prof., 2024)

A theory of factors affecting continuous experimentation (FACE). - Rasmus Ros; Elizabeth Bjarnason; Per Runeson (Empir. Softw. Eng., 2024)