Automatically finding the control variables for complex system behavior
作者:Gregory Gay, Tim Menzies, Misty Davies, Karen Gundy-Burlet
摘要
Testing large-scale systems is expensive in terms of both time and money. Running simulations early in the process is a proven method of finding the design faults likely to lead to critical system failures, but determining the exact cause of those errors is still time-consuming and requires access to a limited number of domain experts. It is desirable to find an automated method that explores the large number of combinations and is able to isolate likely fault points.
论文关键词:Contrast-set learning, Search-based software engineering, Simulation, Optimization, Monte Carlo filtering
论文评审过程:
论文官网地址:https://doi.org/10.1007/s10515-010-0072-x