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

Research Papers

Learning System Abstractions for Human Operators
Sebastien Combefis, Dimitra Giannakopoulou, Charles Pecheur and Michael Feary.

Software Fault Localization Using Feature Selection
Shounak Roychowdhury and Sarfraz Khurshid.

The Inductive Software Engineering Manifesto: Principles for Industrial Data Mining
Tim Menzies, Christian Bird, Tom Zimmermann, Wolfram Schulte and Ekrem Kocaganeli.

Do Better IR Tools Improve the Accuracy of Engineers' Traceability Recovery?
Markus Borg and Dietmar Pfahl.

Evolution of Legacy System Comprehensibility through Automated Refactoring
Isaac Griffith, Scott Wahl and Clemente Izurieta.

ProbPoly - A Probabilistic Inductive Logic Programming Framework with Application in Model Checking
Calin-Rares Turliuc.

Position Papers

Towards Learning to Detect Meaningful Changes in Software
Yijun Yu, Arosha Bandara, Thein Than Tun and Bashar Nuseibeh.

Software Analytics as a Learning Case in Practice: Approaches and Experiences
Dongmei Zhang, Yingnong Dang, Jian-Guang Lou, Shi Han, Haidong Zhang and Tao Xie.

Photo taken from KU website.