A quality methodology based on statistical analysis of software structure

Presents a methodology to assess software quality, based on the structural parameters of the software, and to validate it by factorial and regression analysis. This methodology is able to predict every file risk level, or, in other words, how likely it is that a file contains faults. The influence of structural parameters on the conditions which characterise a system can vary enormously. Once the environment has been identified and a reasonable amount of data accumulated, it is possible to construct a model which identifies potentially dangerous programs; moreover, this model is dynamic and can be continually recalibrated to suit the environment in question. The conclusions we have reached allow us to assert that both the results obtained by the proposed methodology and the basic assumption upon which the theoretical framework depends have been substantially proven