Handbook of software reliability engineering
Handbook of software reliability engineering
Inroads to software quality: “how to” guide and toolkit
Inroads to software quality: “how to” guide and toolkit
Handbook of software quality assurance (3rd ed.)
Handbook of software quality assurance (3rd ed.)
A Practical Approach to Software Quality
A Practical Approach to Software Quality
Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
Software Quality Evaluation Based on Expert Judgement
Software Quality Control
Construction of a Systemic Quality Model for Evaluating a Software Product
Software Quality Control
Making Resource Decisions for Software Projects
Proceedings of the 26th International Conference on Software Engineering
Software Reliability Engineering: More Reliable Software Faster and Cheaper
Software Reliability Engineering: More Reliable Software Faster and Cheaper
A life cycle software quality model using bayesian belief networks
A life cycle software quality model using bayesian belief networks
Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks
IEEE Transactions on Knowledge and Data Engineering
On the effectiveness of early life cycle defect prediction with Bayesian Nets
Empirical Software Engineering
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
Improved decision-making for software managers using Bayesian networks
SEA '07 Proceedings of the 11th IASTED International Conference on Software Engineering and Applications
A software component quality framework
ACM SIGSOFT Software Engineering Notes
An application of Bayesian network for predicting object-oriented software maintainability
Information and Software Technology
A framework for integrated software quality prediction using Bayesian nets
ICCSA'11 Proceedings of the 2011 international conference on Computational science and Its applications - Volume Part V
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Software quality can be described by a set of features, such as functionality, reliability, usability, efficiency, maintainability, portability and others. There are various models for software quality prediction developed in the past. Unfortunately, they typically focus on a single quality feature. The main goal of this study is to develop a predictive model that integrates several features of software quality, including relationships between them. This model is an expert-driven Bayesian net, which can be used in diverse analyses and simulations. The paper discusses model structure, behaviour, calibration and enhancement options as well as possible use in fields other than software engineering.