Introduction to Simulation and SLAM II (3rd ed.)
Introduction to Simulation and SLAM II (3rd ed.)
A distributed development environment for embedded software
Software—Practice & Experience
Applied software measurement (2nd ed.): assuring productivity and quality
Applied software measurement (2nd ed.): assuring productivity and quality
Applying design of experiments to software testing: experience report
ICSE '97 Proceedings of the 19th international conference on Software engineering
An approach to incremental design of distributed embedded systems
Proceedings of the 38th annual Design Automation Conference
Proceedings of the 32nd conference on Winter simulation
Software Testing, Verification & Reliability
| Hi-index | 0.00 |
This paper presents some original solutions with regard to deployment of the US Department of Defense Simulation, Test and Evaluation Process (DoD STEP), using an automated target tracking radar system as a case study of Integrated and Optimized Software Testing Process (IOSTP) framework deployment. This paper is a composite of what is in hand and within reasonable reach in the application of many science and engineering areas that can be successfully applied to software projects management to assure stable (observable and controllable) development process. Besides the integration of modeling and simulation, to form a model-based approach to the software testing process, the number of experiments, i.e. test cases, have been dramatically reduced by applying an optimized design-of-experiment plan and an orthogonal array-based robust testing methodology. Intelligence is gathered throughout the project lifecycle, from early reviews to final acceptance testing. The intelligence gathered, enables project and stakeholder management to judge how and whether progress is being made. Computer-based simulation at various abstraction levels of the system/software under test can serve as a test oracle too. Simulation-based (stochastic) experiments, combined with optimized design-of-experiment plans, in the case study, have shown a minimum productivity increase of 100 times in comparison to current practice without IOSTP deployment.