A Semi-Parametric Self-Exciting Software Reliability Model with Time-Varying Base Intensity and Shallow Neural Kernel
Software reliability modeling is essential for assessing fault-detection behavior and predicting future software failures during the testing phase. Traditional nonhomogeneous Poisson process (NHPP)-based software reliability models (SRMs) are mathematically tractable, but they do not explicitly capture history-dependen...