Software Effort Estimation Risk Management over Projects Portfolio


  •  Salma EL KOUTBI    
  •  Ali IDRI    

Abstract

Over the last decades, software development effort estimation has integrated new approaches dealing with uncertainty. However, effort estimates are still plagued with errors limiting their reliability. Thus, estimates error management at an organization level provides a promising alternative to the classical approaches dealing with single projects as a portfolio can afford more flexibility and opportunities in terms of risk management. The most widely used approaches in risk management were mainly based on the Gaussian approximation that shows its limits facing “ruin” risk associated to unusual events. The aim of this paper is to propose a Multi-Projects Error Modeling framework to characterize error at a portfolio level using bootstrapping, mixture of Gaussians and power law to emphasize the tail behavior respectively.


This work is licensed under a Creative Commons Attribution 4.0 License.
  • Issn(Print): 1913-8989
  • Issn(Onlne): 1913-8997
  • Started: 2008
  • Frequency: quarterly

Journal Metrics

(The data was calculated based on Google Scholar Citations)

Google-based Impact Factor (2018): 18.20

h-index (January 2018): 23

i10-index (January 2018): 90

h5-index (January 2018): 11

h5-median(January 2018):17

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