Predictive Modeling in Practice: A Case Study with AgenaRisk
Table of Links
Abstract and 1. Introduction
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Background and 2.1. Related Work
2.2. The Impact of XP Practices on Software Productivity and Quality
2.3. Bayesian Network Modelling
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Model Design
3.1. Model Overview
3.2. Team Velocity Model
3.3. Defected Story Points Model
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Model Validation
4.1. Experiments Setup
4.2. Results and Discussion
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Conclusions and References
4. MODEL VALIDATION
The proposed model was implemented using AgenaRisk toolset [1]. AgenaRisk is a powerful tool for modelling risk and making predictions based on Bayesian Network. AgenaRisk has the following features:
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It integrates the advantages of Bayesian Networks, statistical simulation and spreadsheet analysis.
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A wide range of built-in conditional probability functions are available.
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It has the ability to build dynamic models.
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AgenaRisk is visual, simple and powerful tool.
\ A free licence for AgenaRisk toolset is available through the company website (http://www.agenarisk.com), but limited to 7 days.
\ In the next section, experiments setup will be illustrated, while the results will be provided and discussed in the following section
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:::info Authors:
(1) Mohamed Abouelelam, Software System Engineering, University of Regina, Regina, Canada;
(2) Luigi Benedicenti, Software System Engineering, University of Regina, Regina, Canada.
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:::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license.
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