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

Click here to access Malets11 Pre-proceedings.

9:00 Keynote Speaker: Dimitra Giannakopoulou
Automata Generation: *Not* your Usual Machine Learning

Paper session 1: CODE ANALYSIS
10:00 Evolution of Legacy System Comprehensibility through Automated Refactoring
Isaac Griffith, Scott Wahl and Clemente Izurieta.
10:30 Towards Learning to Detect Meaningful Changes in Software
Yijun Yu, Arosha Bandara, Thein Than Tun and Bashar Nuseibeh.

10:50 Coffee Break

11:10 Software Fault Localization Using Feature Selection
Shounak Roychowdhury and Sarfraz Khurshid.
11:40 Do Better IR Tools Improve the Accuracy of Engineers' Traceability Recovery?
Markus Borg and Dietmar Pfahl.

Paper session 2: LESSONS LEARNED
12:10 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.
12:30 The Inductive Software Engineering Manifesto: Principles for Industrial Data Mining
Tim Menzies, Christian Bird, Tom Zimmermann, Wolfram Schulte and Ekrem Kocaganeli.
13:00 Lunch
Paper session 3: NEW DIRECTIONS

14:00 Learning System Abstractions for Human Operators
Sebastien Combefis, Dimitra Giannakopoulou, Charles Pecheur and Michael Feary.
14:30 ProbPoly - A Probabilistic Inductive Logic Programming Framework with Application in Model Checking
Calin-Rares Turliuc.

15:00 Coffee Break

15:30 Panel Discussion: Machine Learning for Software Quality Assurance
Dimitra Giannakopoulou, Tim Menzies and Alessandra Russo.

17:00 Workshop ends

Photo taken from KU website.