LAUSR

Due to changing software requirements and increasing system complexity, which put forward new challenges to the related testing processes to ensure software trustworthiness. Software testing is an important means to improve software quality, and standardized software testing process has become an effective measure to ensure software testing quality. In order to solve the problem of software quality decline caused by non-standard behaviors in software testing processes, this paper proposes a standardization workflow technology to construct the management system of software testing processes, and applies the workflow management system to the software testing of RSA timing attack tasks. For the numerical experimental setup, two software fault detection time-domain datasets are considered, i.e., datasets generated from the RSA timing attack program in functional testing processes and workflow verification system used to manage the RSA timing attack processes in non-functional testing processes. Then, software reliability is evaluated by employing multiple heterogeneous software reliability growth models (SRGMs) with corresponding assumed conditions, parameter information and reliability prediction methods. Furthermore, we compare the fitting power and predictive performance of multiple SRGMs in terms of the model evaluation criteria, which helps testers select a better SRGM from the model evaluation results for reliability analysis. The experimental results show that the proposed standardization workflow technology can reasonably regulate the software testing processes, making the fault data input into SRGMs more reliable and reliability analysis results more credible.