Objective

The aim of the workshop is to provide a forum for researchers and practitioners to present and discuss new ideas, trends and results concerning applying ML to software quality evaluation. We expect that the workshop will help in (1) validation of existing and exploring new applications of ML, (2) comparing their efficiency and effectiveness, both among other automated approaches and the human judgement, and (3) adapting ML approaches already used in other areas of science.

Topics of interest include, but are not limited to:
Application of machine-learning in software evaluation,
Multi-criteria analysis of software-related data,
Adoption of fuzzy concept in analyzing software artifacts and processes,
Knowledge acquisition from software repositories,
Adoption and validation of machine learning models and algorithms in software engineering,
Decision support and analysis in software engineering,
Predicting models in software engineering