Conference:Intelligent Testing 2014 (click here to see full programme)
Speaker:Leandro L. Minku, Research Fellow II.
Organisation:The University of Birmingham
Presentation Title:Automated Software Defect Prediction Using Machine Learning
Abstract:Software code is composed of several components (e.g., several Java classes). Testing all these components can be a very expensive task. If we know which components are likely to be defective, we can concentrate testing on these components, increasing the chances of finding software defects while reducing testing effort. The task of software defect prediction is concerned with predicting which software components are likely to be defective, helping to increase testing cost-effectiveness. In this talk, I will show how software defect prediction can be performed by using automated machine learning approaches. I will also go through some important issues to be considered when using such automated approaches.
BiographyLeandro L. Minku is a Research Fellow II at the Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), School of Computer Science, the University of Birmingham (UK). He received his PhD degree in Computer Science from the University of Birmingham (UK) in 2010, and was an intern at Google Zurich for six months in 2009/2010. He was the recipient of the Overseas Research Students Award (ORSAS) from the British government and several scholarships from the Brazilian Council for Scientific and Technological Development (CNPq).Dr Minku’s research focuses on automating and providing insight into software engineering tasks by using computational intelligence approaches. It includes software prediction models, search-based software engineering, machine learning in changing environments and ensembles of learning machines. His work has been published at internationally renowned venues such as the International Conference on Software Engineering, IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology and IEEE Transactions on Knowledge and Data Engineering. He was invited to give nine talks, including a keynote, and to join conference steering and organising committees.

Due to technical difficulties Leandro was unable to show a planned demo during
his presentation you can find a copy of the demo here