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Details of Grant 

EPSRC Reference: GR/M75143/01
Title: SOFTWARE SYSTEM IMPROVEMENT THROUGH INDUCTIVE DATA MINING
Principal Investigator: Partridge, Professor D
Other Investigators:
Researcher Co-Investigators:
Project Partners:
National AIR Traffic Services (NATS)
Department: Computer Science
Organisation: University of Exeter
Scheme: Standard Research (Pre-FEC)
Starts: 01 January 2000 Ends: 30 June 2003 Value (£): 149,882
EPSRC Research Topic Classifications:
Information & Knowledge Mgmt Software Engineering
EPSRC Industrial Sector Classifications:
Aerospace, Defence and Marine Information Technologies
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
A specification is the traditional foundation for the software development process. A specification for a practical problem (i.e. not an abstract problem like GCD) is an abstraction from, and hence an approximation to, some real phenomenon. Using a complex operational, but far from optimal, software system --- the STCA systems used to advise air-traffic controllers --- we propose to apply inductive computing technologies (neutral computing and automatic rule induction) to elicit information from the raw data that the operational system processes on a daily basis. The information so gained, or the data mined, will then be applied in a variety of ways, both direct and indirect, to improve the STCA system specification and hence improve the operational system. A variety basic data-mining techniques have been identified and three different general strategies for subsequent software system enhancement have been described. The proposed programme will systematically explore and evaluate these technologies and ways of using the information extracted with a view to improving the specification and operational performance of the STCA system as well as developing general software enhancement data-mining techniques.
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