Fuzzyness And Imprecision In Software Engineering

In this paper, we study how fuzziness in software engineering emerges and how to reflect this fuzziness in measuring software qualities. Principal means in these processes are software metrics with values in categorical data represented by software metrics with values in fuzzy sets and linguistic variables. This study is aimed to support the development of high quality software. The process of program design as a transition from a problem to a program is studied. A classification of software metrics is developed with the aim of better structuring and optimization of the software fuzzy metric design. Processes of constructing new measures from existing ones often use aggregation operations. Here we study aggregation operations for fuzzy set based software metrics.