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Details of Grant 

EPSRC Reference: EP/I038225/1
Title: Metacognitive Instruction, Confidence and Prediction Accuracy in Software Engineering (MICaPASE)
Principal Investigator: Shepperd, Professor M
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Hewlett Packard Company Lloyds TSB Commercial Finance Ltd Simula Research Laboratory
Department: Information Systems Computing and Maths
Organisation: Brunel University London
Scheme: Standard Research
Starts: 01 October 2011 Ends: 31 March 2013 Value (£): 42,043
EPSRC Research Topic Classifications:
Psychology Software Engineering
EPSRC Industrial Sector Classifications:
Information Technologies Financial Services
Related Grants:
EP/I037881/1
Panel History:
Panel DatePanel NameOutcome
13 Jul 2011 EPSRC ICT Responsive Mode - July 2011 Announced
Summary on Grant Application Form
Effective prediction, for example of project cost, is an essential aspect of software engineering. Although considerable research has been devoted to this topic, the role of human experts has been under-emphasised.

Our aim is to investigate the impact of enhanced metacognitive awareness on prediction and confidence (uncertainty assessment) to improve the prediction practices of software professionals. This will be accomplished by developing metacognitive awareness during a series of experiments with software professionals as participants. The major outcomes will be a better understanding of (i) the factors that influence prediction and uncertainty assessment skills and (ii) how industry practice can be enhanced. The findings will impact the software industry, its clients and other sectors where accurate predictions are required in uncertain environments.

Key Findings
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Organisation Website: http://www.brunel.ac.uk