Identification of Data Cohesive Subsystems Using Data Mining Techniques

Authors:
Carlos Montes de Oca;Doris L. Carver
Affiliations:
-;-
Venue:
ICSM '98 Proceedings of the International Conference on Software Maintenance
Year:
1998

Citing 0
Cited 13

Data mining library reuse patterns using generalized association rules

Proceedings of the 22nd international conference on Software engineering
Mapping object-oriented systems to distributed systems using data mining techniques

IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
Reengineering legacy systems for distributed environments

Journal of Systems and Software
Supporting maintenance of legacy software with data mining techniques

CASCON '00 Proceedings of the 2000 conference of the Centre for Advanced Studies on Collaborative research
Supporting Software Maintenance by Mining Software Update Records

ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)
Mining source code elements for comprehending object-oriented systems and evaluating their maintainability

ACM SIGKDD Explorations Newsletter
An improved methodology on information distillation by mining program source code

Data & Knowledge Engineering
Hierarchical Clustering for Software Architecture Recovery

IEEE Transactions on Software Engineering
Using aspect orientation in legacy environments for reverse engineering using dynamic analysis-An industrial experience report

Journal of Systems and Software
Clustering for Monitoring Software Systems Maintainability Evolution

Electronic Notes in Theoretical Computer Science (ENTCS)
A cohesion metric proposal for object-oriented systems: COMIAS

ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Mining class association rules from dynamic class coupling data to measure class reusability pattern

ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
Comparison and evaluation of source code mining tools and techniques: A qualitative approach

Intelligent Data Analysis

Quantified Score

Hi-index	0.00

Visualization

Abstract

This empirical study analyzes changes in C++ source code which occurred between two releases of an industrial soft ware product and compares them with entities and relations available in object-oriented modeling techniques. The comparison offers increased ...