An Empirical Study of Software Project Managers Using a Case-Based Reasoner

Carolyn Mair, Martin Shepperd

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

Abstract

BACKGROUND ? whilst substantial effort has been invested in developing and evaluating knowledge-based techniques for project prediction, little is known about the interaction between them and expert users. OBJECTIVE ? the aim is to explore the interaction of cognitive processes and personality of software project managers undertaking tool-supported estimation tasks such as effort and cost prediction. METHOD ? we conducted personality profiling and observational studies using think-aloud protocols with five senior project managers using a case-based reasoning (CBR) tool to predict effort for real projects. RESULTS ? we found pronounced differences between the participants in terms of individual differences, cognitive behaviour and estimation outcomes, although there was a general tendency for over-optimism and over-confidence. CONCLUSIONS ? in order to improve task effectiveness in the workplace we need to understand the cognitive behaviour of software professionals in addition to conducting machine learning research.
Original languageEnglish
Title of host publicationEuropean Institute for Advanced Studies in Management, 25-26 June 2012, London, UK
Publication statusPublished - 1 Jan 2012
Externally publishedYes

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