MaLTeSQuE – Workshop on Machine Learning Techniques for Software Quality Evaluation

Important Dates

Submission: extended until December 18, 2016
Notification: January 8, 2017
Camera ready: January 15, 2017
Workshop: February 21, 2017


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


Francesca Arcelli Fontana, University of Milano-Bicocca
Bartosz Walter, Poznań University of Technology
Marco Zanoni, University of Milano-Bicocca