Constructing Intelligent Agents Using Java
Constructing Intelligent Agents Using Java
Subjective evaluation of software evolvability using code smells: An empirical study
Empirical Software Engineering
Pattern-based Reengineering of Software Systems
WCRE '06 Proceedings of the 13th Working Conference on Reverse Engineering
IEEE Transactions on Software Engineering
Water flows' management system at the secondary cooling in the continuous steel casting process
WSEAS Transactions on Systems and Control
ICOSSSE'08 Proceedings of the 7th WSEAS international conference on System science and simulation in engineering
Hi-index | 0.00 |
This paper presents application of a fuzzy logic based system to automatically evaluate the maintainability of code. Code evaluation is accomplished by rating its quality provided with bad smells in code as inputs. Straightforward bad smells with existing software metrics tools are selected as inputs: duplicated code, long methods, large classes having a high cyclomatic complexity, or a large number of parameters and temporary fields. Removing these bad smells can result in significant code improvements concerning readability and maintainability. However, the precise definition of attributes like small, long, large or high is not clear, and their identification is rather subjective. Fuzzy logic values are suitable for capturing partial correspondence to attributes and fuzzy rules model have been used to describe the relation between bad smells and code quality. Model supporting the experimental evaluation of the fuzzy based code evaluation is implemented in Java.