Software testing strategies and release decisions with S-shaped growth models under different statistical confidence intervals
Chih‐Chiang Fang, Chin-Chia Hsu · 2025
In the software industry, Software Reliability Growth Models (SRGMs) with confidence intervals (C.I.) are frequently employed as valuable tools to assist manager to determine the optimal timing for software releases and enhancing the effectiveness of testing processes. However, many SRGMs lack clear explanations regarding the estimation of variance for cumulative software errors. This limitation can impede their ability to accurately derive C.I. for the mean value function (MVF), making it challenging for developers to evaluate potential risks and uncertainties within the software system. Consequently, the practical application of these models may be compromised. To address this issue, this paper proposes the utilization of Ohba’s Inflection S-shaped model and Yamada’s delayed S-shaped model to construct SRGMs with C.I., thereby providing developers with improved guidance for making optimal release time decisions.