Natural History Museum

International Workshop on Machine Learning Technologies in Software Engineering

Lawrence, Kansas, U.S.A. November 12, 2011.
In association with the 26th International Conference on Automated Software Engineering

Download the full call for papers as pdf or txt.

Topics of interest are theoretical foundations and practical approaches related, but not limited, to the integration of the following two areas of research:

Software Engineering Machine Learning
Software requirements elaboration Inductive learning
Security and fault tolerance Abductive reasoning
Software reusability Theory revision
Requirements prioritisation Case-based reasoning
Software quality/reliability estimation Statistical learning
Self-adaptive systems Online learning
Risk modelling and analysis Bayesian inference
Automated software specification Text Mining
Testing, verification and validation Explanation-based learning
Autonomic systems Similarity-based learning
Process & workflow management Artificial Neural Networks
Pervasive systems Data mining
Software effort prediction and cost estimation Genetic algorithms
Agent-oriented software engineering
Pervasive systems
Model-driven and component-based software development