(Khmelnytskyi National University, 2022) Lebiga, M.; Hovorushchenko, T.; Kapustian, M.
The paper proposes a neural-network model of software quality prediction based on quality attributes. The proposed model differs from the known models, because it provides considering the importance of each quality attribute and their interaction within each software quality characteristic. The artificial neural network (ANN) outputs correspond to the values of software quality characteristics (functional suitability, performance efficiency, usability, reliability, compatibility, security, maintainability, portability). The artificial neural network (ANN) outputs make it possible assessing the total impact of quality attributes on software quality characteristics.