Software Optimisation, Learning and Analytics Research
SOLAR is a group of researchers working on software engineering problems at the interface of software optimisation, machine/evolutionary learning and analytics.
The group currently consists of 13 members and is led by Prof Federica Sarro at University College London (UCL).
In SOLAR we promote and embrace open science, and therefore we strive to share our publications, data, tools, and models inside and outside the group, whenever possible.
Accepted Papers @ESEC/FSE'20
Cost Measures Matter for Mutation Testing Study Validity by Guizzo et al.
A Framework for Evaluating UI Test Reuse by Zhao et al.
Accepted Papers @GECCO'20
Optimising Word Embeddings With Search-Based Approaches by Hort & Sarro
A New Approach to Distribute MOEA Pareto Front Computation by Sarro et al.
Accepted Papers @ICSE'20
Automatic Testing and Improvement of Machine Translation by Zhang et al.