KMi Seminars
Challenges and Approaches to Engaging Stakeholders in Requirements Engineering
This event took place on Tuesday 25 October 2005 at 12:15

 
Prof. Pericles Loucopoulos Information Systems Group, School of Informatics, the University of Manchester, UK

A key challenge in the development of systems is the engagement of domain experts in their articulation, agreement, and validation of requirements. This challenge is particularly pronounced at the early requirements phase when multiple stakeholders from different divisions and often different organisations need to reach agreement about the intended systems. Decisions taken at this stage have a profound effect on the technical and economic feasibility of a project. The response of the Requirements Engineering community has been the introduction of a variety of conceptual modelling formalisms and appropriate requirements engineering processes. There is sufficient empirical evidence however that demonstrates the alienation of stakeholders from such notations and processes. The possible acquiescence of stakeholders approving a specification, without a deeper understanding of the modelled system, can lead to potentially profound problems due to differences between the expected value from the target system and that which is finally delivered. This talk will explore issues, challenges and approaches associated with capturing of, negotiating about and agreeing on early requirements from a design stance, using examples from large scale industrial applications.

Download powerpoint presentation (3.4Mb ZIP file)

This seminar is part of a series for the READ Group, in Maths and Computing and is to be used on a forthcoming course M883.

 
KMi Seminars
 

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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