Coupling Metrics for Web Pages Clustering in Restructuring of web Applications (웹 어플리케이션 재구조화를 위한 클러스터링에 사용되는 결합도 메트릭)

Eunjoo Lee (이은주); 박근덕

Coupling Metrics for Web Pages Clustering in Restructuring of web Applications

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2007, 12(3), pp.75~84
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

Eunjoo Lee ¹, 박근덕 ²

¹경북대학교
²호서대학교

Accredited

ABSTRACT

Due to the increasing complexity and shorter life cycle of web applications, web applications need to be restructured to improve flexibility and extensibility. These days approaches are being used where systems are understood and restructured through clustering techniques. In this paper, the coupling metrics are proposed for clustering web pages more effectively. To achieve this, web application models are defined, where the relationship between web pages and the numbers of parameters are included. Considering direct and indirect coupling strength based on these models, coupling metrics are defined. The more direct relations between two pages and the more parameters they have, the stronger direct coupling is. The higher indirect connectivity strength between two pages is, the more similar the patterns of relationships among other web pages are. We verify the suggested metrics according to the well known verification framework and provide a case study to show that our metrics complements some existing metrics.

KEYWORDS

웹 어플리케이션(Web Application), 결합도(Coupling), 재구조화(Restructuring), 클러스터링(Clustering)

Citation status

* References for papers published after 2023 are currently being built.

[confproc] G. A. Di Lucca / 2002 / Comprehending Web Applications by a Clustering Based Approach / Proc. of the International Workshop on Program Comprehension : 261~270

[journal] F. Ricca / 2001 / Understanding and Restructuring Web Sites with ReWeb / IEEE Multimedia

[confproc] G. A. Di Lucca / 2001 / An approach for reverse engineering of web-based application / Proc. of Working Conference on Reverse Engineering : 231~240

[confproc] B.J. Lee / 2006 / Genetic Algorithm Based Restructuring of Web Applications Using Web Page Relationships and Metrics / Lecture Notes in Computer Science / Springer-Verlag 4113 : 697~702

[confproc] T. Vernazza / 2000 / Defining Metrics for Software Components / Proc. of International Conference on Information Systems, Analysis, and Synthesis

[journal] D. Dhyani / 2002 / A Survey of Web Metrics / ACM Computing Surveys 34(4) : 469~503

[confproc] C. Liu / 2000 / Structural Testing of Web Applications / Proc. of 11th International Symposium on Software Reliability Engineering : 84~96

[confproc] R. Fewster / 2001 / Measurement, Prediction and Risk Analysis for Web Applications / Proc. of Software Metrics Symposium : 338~348

[confproc] E. Mendes / 2002 / Comparison of Web Size Measures for Predicting Web design and Authoring Effort / IEE Proceedings-Software 149(3) : 86~92

[journal] 이은주 / 2007 / Model-Based Quantitative Reengineering for Identifying Components from Object-Oriented Systems / 정보처리학회논문지D / 한국정보처리학회 14(1) : 67~82

[book] L. Egghe / 1990 / Introduction to Informetrics / Elsevier Science Publishers

[journal] L. C. Briand / 1996 / Property-Based Software Engineering Measurement / IEEE Transaction on Software Engineering 22(1) : 68~86

KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65