Metacognition, Confidence and Bias in Software Estimating

Martin Shepperd, Carolyn Mair

Research output: Chapter in Book/Report/Published conference proceedingConference contributionpeer-review

Abstract

Effective prediction, for example of project costs, is an essential aspect of software development. Although considerable research has been devoted to this topic, the role of the human experts who make and are responsible for predictions, has been under-emphasised. We focus on how metacognitive (thinking about thinking) awareness impacts on prediction and confidence (uncertainty assessment) as confidence plays a crucial role in prediction. For example a manager may be 90 weeks. Over-confidence may be as great a threat as over-optimism and the two are inter-linked. Our aim is to improve the prediction practices of software professionals by reducing over-confidence and over-optimism (bias) which are recurring problems. The talk will cover: ? the meaning of a prediction, that it is a probabilistic statement which implies two components: (i) the predicted value and (ii) the degree of confidence in the prediction ? evaluating the quality of a prediction includes (i) error (ii) bias and (iii) variance or scatter ? cognitive sources of over-confidence and over-optimism e.g. the planning fallacy, anchoring effects and the peak-end rule ? de-biasing strategies through enhancing metacognitive awareness
Original languageEnglish
Title of host publicationUKSMA/COSMIC, 7-8th November 2012, London.
Publication statusPublished - 2012
Externally publishedYes

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