Requirements-Driven Software Reengineering
This event took place on Tuesday 25 April 2006 at 10:00
Dr Yijun Yu University of Toronto
As illustrated by the Horseshoe model, a software reengineering process improves a software system by reverse engineering it into high-level abstractions that can be used in the forward software engineering. Unlike traditional reengineering processes that recover abstractions at the level of architectural design, here I show that more abstract descriptions can be recovered at the requirements level, as goals of the stakeholders. The recovered requirements are then used as the basis to reengineer the system. Combining them with new stakeholder requirements for the system-to-be, a high-variability architectural design can be derived.
Download PowerPoint presentation (2.5Mb ZIP file)
This event took place on Tuesday 25 April 2006 at 10:00
Dr Yijun Yu University of Toronto
As illustrated by the Horseshoe model, a software reengineering process improves a software system by reverse engineering it into high-level abstractions that can be used in the forward software engineering. Unlike traditional reengineering processes that recover abstractions at the level of architectural design, here I show that more abstract descriptions can be recovered at the requirements level, as goals of the stakeholders. The recovered requirements are then used as the basis to reengineer the system. Combining them with new stakeholder requirements for the system-to-be, a high-variability architectural design can be derived.
Download PowerPoint presentation (2.5Mb ZIP file)
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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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