KMi Seminars
Structure Analysis of Large Software Systems
This event took place on Tuesday 25 April 2006 at 15:00

 
Dr Dirk Beyer Ecole Polytechnique F?d?rale de Lausanne (EPFL)

We present two techniques for structure analysis that scale to large software systems. In the first part, we present CrocoPat, a tool for relational programming. Its language is illustrated on small examples, and some applications to software analysis are explained. The method can be used to formulate graph analysis problems like the detection of instances of design patterns, or the computation of the transitive closure of large relations, in a simple language based on predicate logic. The second part of the talk will emphasis on co-change visualization, a technique for extracting the subsystem structure of a system from the CVS repository. CCVisu is a tool for co-change visualization. It extracts a high-level model of the change history of the software system and produces a visualization that reveals clusters of the system. The layout ensures that artifacts that were often changed together are placed at close positions.

Download PowerPoint presentation (2Mb ZIP file)

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Social Software is...


Social Software
Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.