An approach of software quality prediction based on relationship analysis and prediction model

By predicting the quality of the software that will be formed in the early stage of development, faults brought in at the phase of design will be found out early in order not leave them in the software product. Furthermore, it will be easy for designers to adopt appropriate plans based on specific expectations of the target software. However, the traditional prediction models have following shortages: 1) the relationship between attributes and metrics effectively cannot be expressed; 2) lack of the ability to process data both qualitatively and quantitatively; 3) not appropriate to the case with uncompleted information. In this paper, a model built based on and fuzzy neural network is proved to be good at quality prediction of object-oriented software.