Machine learning and statistics: the interface
Machine learning and statistics: the interface
Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
Software Engineering
Building UML Class Diagram Maintainability Prediction Models Based on Early Metrics
METRICS '03 Proceedings of the 9th International Symposium on Software Metrics
Building measure-based prediction models for UML class diagram maintainability
Empirical Software Engineering
Evaluation of training methods for conditioning of fuzzy based maintainability metric
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Assessment of maintainability metrics for object-oriented software system
ACM SIGSOFT Software Engineering Notes
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It is obvious that qualities of software design heavily affects on qualities of software ultimately developed. One of claimed advantages of object-oriented paradigm is the ease of maintenance. The main goal of this work is to propose a methodology for constructing maintainability model of object-oriented software design model using three techniques. Two sub-characteristics of maintainability: understandability and modifiability are focused in this work. A controlled experiment is performed in order to construct maintainability models of object-oriented designs using the experimental data. The first maintainability model is constructed using Metrics-Discriminant technique. This technique analyzes the pattern of correlation between maintainability levels and structural complexity design metrics applying Discriminant analysis. The second one is built using Weighted-Score-Level technique. The technique uses a weighted sum method by combining understandability and modifiability levels which are converted from understandability and modifiability scores. The third one is created using Weighted-Predicted-Level technique. Weighted-Predicted-Level uses a weighted sum method by combining predicted understandability and modifiability level, obtained from applying understandability and modifiability models. This paper presents comparison of maintainability models obtained from three techniques.