Predictive Modeling in Practice: A Case Study with AgenaRisk

Table of Links Abstract and 1. Introduction Abstract and 1. Introduction Background and 2.1. Related Work 2.2. The Impact of XP Practices on Software Productivity and Quality 2.3. Bayesian Network Modelling Model Design 3.1. Model Overview 3.2. Team Velocity Model 3.3. Defected Story Points Model Model Validation 4.1. Experiments Setup 4.2. Results and Discussion Conclusions and References Background and 2.1. Related Work 2.2. The Impact of XP Practices on Software Productivity and Quality 2.3. Bayesian Network Modelling Background and 2.1. Related Work Background and 2.1. Related Work 2.2. The Impact of XP Practices on Software Productivity and Quality 2.2. The Impact of XP Practices on Software Productivity and Quality 2.3. Bayesian Network Modelling 2.3. Bayesian Network Modelling Model Design 3.1. Model Overview 3.2. Team Velocity Model 3.3. Defected Story Points Model Model Design Model Design 3.1. Model Overview 3.1. Model Overview 3.2. Team Velocity Model 3.2. Team Velocity Model 3.3. Defected Story Points Model 3.3. Defected Story Points Model Model Validation 4.1. Experiments Setup 4.2. Results and Discussion Model Validation Model Validation 4.1. Experiments Setup 4.1. Experiments Setup 4.2. Results and Discussion 4.2. Results and Discussion Conclusions and References Conclusions and References 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: It integrates the advantages of Bayesian Networks, statistical simulation and spreadsheet analysis. A wide range of built-in conditional probability functions are available. It has the ability to build dynamic models. AgenaRisk is visual, simple and powerful tool. It integrates the advantages of Bayesian Networks, statistical simulation and spreadsheet analysis. It integrates the advantages of Bayesian Networks, statistical simulation and spreadsheet analysis. A wide range of built-in conditional probability functions are available. A wide range of built-in conditional probability functions are available. It has the ability to build dynamic models. It has the ability to build dynamic models. AgenaRisk is visual, simple and powerful tool. 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. http://www.agenarisk.com In the next section, experiments setup will be illustrated, while the results will be provided and discussed in the following section Authors: (1) Mohamed Abouelelam, Software System Engineering, University of Regina, Regina, Canada; (2) Luigi Benedicenti, Software System Engineering, University of Regina, Regina, Canada. Authors: Authors: (1) Mohamed Abouelelam, Software System Engineering, University of Regina, Regina, Canada; (2) Luigi Benedicenti, Software System Engineering, University of Regina, Regina, Canada. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. available on arxiv available on arxiv