KMi Seminars
End-user software engineering
This event took place on Tuesday 28 June 2005 at 13:00

 
Professor Margaret Burnett Oregon State University

In this talk, we will consider what happens when we add to end-user programming environments consideration of the software lifecycle beyond the "coding" phase. Considering other phases seems necessary, because there is ample evidence that end users' programs are filled with errors.

The EUSES Consortium is a new NSF consortium of researchers who are working on this problem. As part of this consortium, several of my colleagues and I have been working on a holistic approach to software engineering for end users. It incorporates support for testing, fault localization, and assertions, in an incremental manner integrated in a fine-grained way with the environment. The software engineering knowledge is in the system, and the user is not expected to have expertise in software engineering. In this talk, I will focus primarily on how testing and assertions are supported as part of this approach, including our "Surprise-Explain-Reward" strategy for motivating end users to employ these software engineering devices.

 
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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