Abstract

SANCHEZ MICHEL, Geidis; GONZALEZ GARAY, Serguey  and  RAMIREZ REYES, Maykel. Software reliability estimation: Littlewood-Verall Model. Rev cuba cienc informat [online]. 2021, vol.15, n.4, pp. 61-75.  Epub Dec 01, 2021. ISSN 2227-1899.

Technology has grown in an astonishing way during the last decades and the software industry has reached great power. Software encompasses the most varied branches of human life and industry in general, leading to a high interest in quality. One of the most important aspects of software quality is reliability, which can be measured or estimated using historical data. Probabilistic reliability models play a fundamental role in this measurement. Unlike standards, models do not contain requirements to be met by quality management systems, but rather guidelines for improvement. The application of models provides companies or projects with an overview of their current situation and their future projection. In this sense, the Littlewood-Verall model is proposed in the research to estimate the behavior of software reliability in a project. Synthetic analytical, modeling and experimental methods were used as scientific methods. The results obtained from the application of the experimental method showed a 55% decrease in the number of failures detected in the deployment stage in relation to the implementation stage based on the estimation of the proposed model.

Keywords : quality; failures; reliability; model.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )