An Investigation of the Quantification of the Probability of Occurrence of Software Engineering Project Risks with Bayesian Probability

Abstract

This work undertakes an analysis of the methods used in the field of software engineering to measure the probability of occurrence of identified software engineering project risks. The purpose of this work is to investigate the viability of the exclusive use of quantitative values to measure the probability of occurrence of identified project risks within the field of software engineering rather than the qualitative values used in some probability of occurrence scales. More specifically, the goal of this analysis is to investigate the viability of achieving more precise and less subjective quantitative measurements of the probability of occurrence of identified software engineering project risks with Bayesian probability.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2007
Accession Number
ADA475966

Entities

People

  • Matthew L. Klabon

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Engineered Resilient Systems
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Application Software
  • Artificial Intelligence
  • Bayesian Networks
  • Computer Science
  • Engineering
  • Engineers
  • Measurement
  • Probabilistic Models
  • Probability
  • Risk
  • Risk Analysis
  • Risk Management
  • Software Development
  • Standards
  • Statistical Data
  • Theorems
  • Viability

Fields of Study

  • Computer science
  • Engineering

Readers

  • Regression Analysis.
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference