Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Know your enemy: software risk management
Software Development
A Methodology for Architecture-Level Reliability Risk Analysis
IEEE Transactions on Software Engineering
Visualizing and Formalizing Risk Information: An Experiment
METRICS '04 Proceedings of the Software Metrics, 10th International Symposium
The importance of documentation, design and reuse in risk management for SPL
Proceedings of the 28th ACM International Conference on Design of Communication
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Software tools have been used in software development for a long time now. They are used for, among other things, performance analysis, testing and verification, debugging and building applications. Software tools can be very simple and lightweight, e.g. linkers, or very large and complex, e.g. computer-assisted software engineering (CASE) tools and integrated development environments (IDEs). Some tools support particular phases of the project cycle while others can be used with a speicfic software development model or technology. Some aspects of software development, like risk management, are done throughout the whole project from inception to commissioning. The aim of this paper is to demonstrate the need for an intelligent risk assessment and management tool for both agile or traditional (or their combination) methods in software development. The authors propose a model, whose development is subject of further research, which can be investigated for use in developing intelligent risk management tools