A fuzzy neural relational model of software quality derived from the McCall hierarchical software quality measurement framework (HSQF), is introduced. The HSQF has three fundamental levels (factors/spl rarr/criteria/spl rarr/metrics) which has a rather natural generalization in the context of fuzzy sets. Vectors of factors, criteria, and metrics are treated as fuzzy sets. On each level, fuzzy objects (fuzzy set and fuzzy relation) are introduced. A learning algorithm is proposed to calibrate the relations at the topmost levels of the software quality model. A learning scenario and detailed learning formulas are given. A brief illustration of the model is also given.
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