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
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

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