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Evidence-Based Cost Estimation for Better-Quality Software

Published: 01 July 2006 Publication History

Abstract

Evidence-based reasoning is becoming common in many fields. It's widely enshrined in the practice and teaching of medicine, law, and management, for example. Evidence-based approaches demand that, among other things, practitioners systematically track down the best evidence relating to some practice; critically appraise that evidence for validity, impact, and applicability; and carefully document it. One proponent of evidence-based software engineering is David Budgen of Durham University. In the Internet age, he argues, many sources of supposed knowledge--Google, Wikipedia, digg.com, and so on--surround us. At his keynote address at the 2006 Conference on Software Engineering Education and Training, Budgen asks, how should we train students to assess all that information and to separate the sense from the nonsense? In his view, before we can denounce some inaccuracy in, say, Wikipedia, we must first look to our own work and audit our own results.

Cited By

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  • (2018)A comparative study for estimating software development effort intervalsSoftware Quality Journal10.1007/s11219-010-9112-919:3(537-552)Online publication date: 24-Dec-2018
  • (2013)Analyzing and handling local bias for calibrating parametric cost estimation modelsInformation and Software Technology10.1016/j.infsof.2013.03.00255:8(1496-1511)Online publication date: 1-Aug-2013
  • (2011)Adjusted case-based software effort estimation using bees optimization algorithmProceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II10.5555/2041341.2041376(315-324)Online publication date: 12-Sep-2011
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cover image IEEE Software
IEEE Software  Volume 23, Issue 4
July 2006
100 pages

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IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 July 2006

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  1. evidence-based reasoning
  2. evidence-based software engineering

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Cited By

View all
  • (2018)A comparative study for estimating software development effort intervalsSoftware Quality Journal10.1007/s11219-010-9112-919:3(537-552)Online publication date: 24-Dec-2018
  • (2013)Analyzing and handling local bias for calibrating parametric cost estimation modelsInformation and Software Technology10.1016/j.infsof.2013.03.00255:8(1496-1511)Online publication date: 1-Aug-2013
  • (2011)Adjusted case-based software effort estimation using bees optimization algorithmProceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II10.5555/2041341.2041376(315-324)Online publication date: 12-Sep-2011
  • (2011)Local bias and its impacts on the performance of parametric estimation modelsProceedings of the 7th International Conference on Predictive Models in Software Engineering10.1145/2020390.2020404(1-10)Online publication date: 20-Sep-2011
  • (2011)Software effort estimation based on optimized model treeProceedings of the 7th International Conference on Predictive Models in Software Engineering10.1145/2020390.2020396(1-8)Online publication date: 20-Sep-2011

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