Software control flow error detection and correlation with system performance deviation ?
We provide a control flow error detection approach that decreases the false negatives and allows complete coverage of program connections. We determine the correlation of the component behavior and the error state parameters with system performance. We evaluate the approach by using a number of fault-injected versions of the PostgreSQL database and demonstrate the detection accuracy. We also illustrate its significant ability to identify the components and error state patterns responsible for performance deviation.
control flow error error detection error state parameters runtime monitoring component-based software performance analysis connection dependence graph (cdg) regression analysis