단조 감소 결함 탐지율 함수를 고려한 NHPP 소프트웨어 신뢰성 모형 = An NHPP Software Reliability Model Considering a Monotonic Decreasing Fault Detection Rate Function

다국어 초록 (Multilingual Abstract)

Purpose: This study aims to improve software reliability growth models (SRGMs) by introducing a decreasing fault detection rate that reflects the temporal characteristics of real testing environments.
Methods: A new non-homogeneous Poisson process (NHPP) SRGM is proposed, in which the fault detection rate is defined as a time-dependent decreasing function. Model parameters were estimated using the least squares method based on an actual failure dataset, and the proposed SRGM was compared with 10 traditional SRGMs across 9 evaluation criteria.
Results: The proposed SRGM demonstrated the best model fit and predictive performance on both datasets.
Conclusion: The proposed NHPP SRGM effectively captures the decreasing fault detection efficiency over time and provides more accurate reliability predictions than conventional SRGMs.