Introduction to Simulation and SLAM II (3rd ed.)
Introduction to Simulation and SLAM II (3rd ed.)
Software risk management
TAOS: Testing with Analysis and Oracle Support
ISSTA '94 Proceedings of the 1994 ACM SIGSOFT international symposium on Software testing and analysis
Applied software measurement (2nd ed.): assuring productivity and quality
Applied software measurement (2nd ed.): assuring productivity and quality
Testing object-oriented systems: models, patterns, and tools
Testing object-oriented systems: models, patterns, and tools
Communications of the ACM
Proceedings of the 32nd conference on Winter simulation
An integrated approach to verification, validation, and accredition of models and simulations
Proceedings of the 32nd conference on Winter simulation
Software Testing, Verification & Reliability
The software testing challenges and methods
ICCOM'05 Proceedings of the 9th WSEAS International Conference on Communications
The use of modeling & simulation-based analysis & optimization of software testing
SMO'05 Proceedings of the 5th WSEAS international conference on Simulation, modelling and optimization
Hi-index | 0.01 |
This paper suggests that the software engineering community could exploit simulation to much greater advantage. There are several reasons for this. First, the Office of the Secretary of Defense has indicated that simulation will play a significant role in the acquisition of defense-related systems to cut costs, improve reliability and bring systems into operation more rapidly. Second, there many areas where simulation can be applied to support software development and acquisition. Such areas include requirements specification, process improvement, architecture trade-off analysis and software testing practices. Third, commercial simulation technology, capable of supporting software development needs is now mature, is easy to use, is of low cost and is readily available. Computer-based simulation at various abstraction levels of the system/software under test can serve as a efficient test oracle, as described in this paper, too. Simulation-based (stochastic) experiments, combined with optimized design-of-experiment plans, in our case study, have shown a minimum productivity increase of 100 times in comparison to current practice without M&S deployment.