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


21.10.2011: Programme is available now here .
30.09.2011: List of accepted paper is available now here .
12.09.2011: Dimitra Giannakopoulou will be the keynote speaker.
19.08.2011: Submission deadline extended to September 2, 2011.

About the Workshop

Software engineering practitioners and researchers continue to face huge demands in the development and maintenance of software specifications, analysis and design. This is mainly driven by the increased complexity, dynamicity and volatility of software systems as they pose new challenges at each stage of the software engineering process. Adaptability, reliability and resilience are characteristics that software systems (from the systems-in-the-small to the system-in-the-large) must guarantee both at static and run-time level.

Machine Learning techniques have, on the other hand, witnessed advances in methodologies, algorithms and tools, with emphasis on the development of efficient, more expressive and scalable systems. They have played a key role in performing complex tasks in various application domains, but their potential applications in the many fields of computer science including software engineering are still being unfold.

The MALETS workshop aims to provide an interdisciplinary platform where new technologies in Machine Learning and their integration in the software engineering process are presented and discussed. The focus of this workshop is to bring together researchers and practitioners working in the areas of Software Engineering and Machine Learning to discuss existing issues, recent developments, applications, experience reports and novel ideas of application of ML in all aspects of Software Engineering.


RESG stpsoft IET

Photo taken from KU website.