In a previous paper, Kuhn [1999] showed that faults in Boolean specifications constitute a hierarchy with respect to detectability, and drew the conclusion that missing condition faults should be hypothesized to generate tests. However this conclusion was premature, since the relationships between missing condition faults and faults in other classes have not been sufficiently analyzed. In this note, we investigate such relationships, aiming to complement the work of Kuhn. As a result, we obtain an extended hierarchy of fault classes and reach a different conclusion.
To predict software quality, we must consider various factors because software development consists of various activities, which the software reliability growth model (SRGM) does not consider.In this paper, we propose a model to predict the final quality of a software product by using the Bayesian belief network (BBN) model. By using the BBN, we can construct a prediction model that focuses on the structure of the software development process explicitly representing complex relationships between metrics, and handling uncertain metrics, such as residual faults in the software products. In order to evaluate the constructed model, we perform an empirical experiment based on the metrics data collected from development projects in a certain company. As a result of the empirical evaluation, we confirm that the proposed model can predict the amount of residual faults that the SRGM cannot handle.
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