Evaluating Software Complexity Measures
IEEE Transactions on Software Engineering
Validation of an Approach for Improving Existing Measurement Frameworks
IEEE Transactions on Software Engineering
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
Bootstrapping rule induction to achieve rule stability and reduction
Journal of Intelligent Information Systems
Software Structure Metrics Based on Information Flow
IEEE Transactions on Software Engineering
Using Knowledge and Rule Induction Methods for Enhancing Clinical Diagnosis: Success Stories
ICFCC '09 Proceedings of the 2009 International Conference on Future Computer and Communication
Problems adopting metrics from other disciplines
Proceedings of the 2010 ICSE Workshop on Emerging Trends in Software Metrics
Optimization of special vehicle routing problem based on ant colony system
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Mining Inconsistent Data with the Bagged MLEM2 Rule Induction Algorithm
GRC '10 Proceedings of the 2010 IEEE International Conference on Granular Computing
EMS '10 Proceedings of the 2010 Fourth UKSim European Symposium on Computer Modeling and Simulation
ICDMW '10 Proceedings of the 2010 IEEE International Conference on Data Mining Workshops
Ask me better questions: active learning queries based on rule induction
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A new classification-rule pruning procedure for an ant colony algorithm
EA'05 Proceedings of the 7th international conference on Artificial Evolution
Continuous function optimization using hybrid ant colony approach with orthogonal design scheme
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Parallel mining for classification rules with ant colony algorithm
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
From clusters to rules: a hybrid framework for generalized symbolic rule induction
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Classification rule mining with an improved ant colony algorithm
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
IEEE Computational Intelligence Magazine
| Hi-index | 0.00 |
Transparent data flow metrics and control flow metrics had no main concern which to be handled by a compiler. Nowadays similar hardware and multithreaded coding is increased. Consequently, both data flow and control flow become more important in analyses the reusability and maintainability. The present analysis of source code and the ability of metrics are incompetent to predict the actual amount of information flow complexity in the modules. In this work, object oriented metric IF-C focuses on the improved information flow complexity estimation method, which is used to evaluate the data flows in object oriented source code and decrease the effort of maintainability and reusability. The object oriented information flow complexity incorporates various internal and external flows in object orientation. The adequacy of software metrics is validated by the rule accuracy algorithm which is based on rule induction technique. The technique applied in the software metrics dataset that has been selected using fitness proportionate selection algorithm. The competence and efficacy of the software metrics have verified by the predefined rules. The rules have if and then clause which hold metrics adequacy standards.