Reliability Assessment for Open-Source Software Using Deterministic and Probabilistic Models

Nowadays, computer software plays a significant role in all fields of our life. Essentially open-source provides economic benefits for companies such that it allows building new without the need to create from scratch. Therefore, is extremely used, and accordingly, software’s quality critical issue one top research directions literature. In development cycles software, checking reliability an important indicator release or not. The deterministic probabilistic models are two main categories used assess reliability. this paper, we perform comparative study between eight different models: models, six based on three methodologies: perfect debugging, imperfect Gompertz distribution. We evaluate employed using versions standard dataset which GNU’s Not Unix Network Object Model Environment projects. four evaluation criteria: sum square error, mean R-square, experimental results showed first version SRGM-4 debugging methodology achieved best result, last SRGM-6 distribution result terms R-square.