Journal of Applied Science and Engineering

Published by Tamkang University Press


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Sangeeta Sabharwal1, Preeti Kaur This email address is being protected from spambots. You need JavaScript enabled to view it.1 and Ritu Sibal1

1Department of Computer Engineering, Netaji Subhas Institute of Technology, University of Delhi, Sector 3, Dwarka, Delhi, India


Received: November 29, 2017
Accepted: April 16, 2018
Publication Date: December 1, 2018

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The unified modelling language (UML) is extensively used for modelling user requirements by developers and researchers. Use case diagram (UCD) is a prominent UML diagram used for modelling functional requirements. It is used for depicting the functional requirements of the system and also acts as a starting point for rest of the diagrams of UML. As the size and complexity of the software being developed increases, the use case diagram also gets increasingly complicated. The goal of this paper is to enhance the quality of the use case driven development process. In this paper an approach is proposed to find key/important use cases in the UCD using two graph ranking algorithms namely Page Rank and HITS-Hypertext Induced Topic Search. Identification of key use cases guides the software developer to prioritize the implementation of use cases in UCD. The proposed approach shows reliable results in accordance with human thinking.

Keywords: Use Case Diagram, Use Case Control Flow Graph, Page Rank and HITS Algorithm


  1. [1] Booch, G., I. Jacobson, and J. Rumbaugh (2001) The Unified Modeling Language User Guide, Addison Wesley.
  2. [2] Ibrahim, N., R. Ibrahim, M. Saringat, D. Mansor, and T. Herwan (2010) On the Well-formedness Rules for UML Use Case Diagram, Proc. of the International Conference on the Web Information System and Mining, Springer-Verlag Berlin Heidelberg, 432439. doi: 10.1007/978-3-642-16515-3_54
  3. [3] Page, L., S. Brin, R. Motwani, and T. Winograd (1998) The Page Rank Citation Ranking: Bringing Order to the Web,
  4. [4] Neate, B., W. Irwin, and N. Churcher (2006) Code Rank: a New Family of Software Metrics, Proc. of Software Engineering Conference, 373–378. doi: 10. 1109/ASWEC.2006.21
  5. [5] Inoue, K., R. Yokomori, T. Yamamoto, M. Matsushita, and S. Kusumoto (2005) Ranking Significance of Software Components Based on Use Relations, IEEE Transactions on Software Engineering 31(3), 213–225. doi: 10.1109/TSE.2005.38
  6. [6] Fagui, L. and Y. Tong (2008) Apply Page Rank Algorithm to Measuring Relationship’s Complexity, Proc. of the Pacific-Asia Workshop on Computational Intelligence and Industrial Application PACIIA’2008, Wuhan, China, 914917. doi: 10.1109/PACIIA.2008.309
  7. [7] Yuming, Z. and X. Baowen (2008) Dependence Structure Analysis-based Approach for Measuring Importance of Classes, Journal of Southeast University 38(3), 380384.
  8. [8] Jin, Y., J. Zang, P. Ma, W. Luo, and Z. Li (2009) Applying Page Rank Algorithm in Requirement Concern Impact Analysis, Proc. of Computer Software and Applications Conference, COMPSAC’2009, Seattle, USA, 361366. doi: 10.1109/COMPSAC.2009.55
  9. [9] Hu, H., J. Fang, Z. Lu, F. Zhao, and Z. Qin (2002) Rank Directed Layout of UML Class Diagrams, Proc. of First International Workshop on Software Mining’ 12, Beijing, China, ACM, 2531. doi: 10.1145/ 2384416.2384420
  10. [10] Park, C., J. Kim, and E. Lee (2012) Using Page Rank Algorithm to Improve Coupling Metrics, ACEEE Journal of Information Technology 2(1), 5659.
  11. [11] Perin, F., L. Renggli, and J. Ressia (2010) Ranking Software Artifacts, Proc of the Workshop on FAMIX and Moose in Reengineering.
  12. [12] Huang, L., Y. Duan, and Z. Zhou (2016) Enhancing UML Class Diagram Abstraction with Page Rank Algorithm and Relationship Abstraction Rules, Proc. of International Conference on Service Oriented Computing, 103116.
  13. [13] Yadav, A., and R. Khan (2011) Using Page Rank Algorithm to Improve Coupling Metrics, Journal of Information Technology and Knowledge Management 4(2), 501509.
  14. [14] Kleinberg, J. (1999) Authoritative Sources in a Hyperlinked Environment, Journal of the ACM 46(5), 604–632. doi: 10.1145/324133.324140
  15. [15] Zaidman, A., and S. Demeyer (2017) Mining ArgoUML with Dynamic Analysis to Establish a Set of Key Classes for Program Comprehension, (WOOR 2005).
  16. [16] Tong, Y. (2008) Apply HITS Algorithm to Measuring Class’s Authoritative Complexity, Proc. of 4th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM ‘08. doi: 10. 1109/WiCom.2008.2954
  17. [17] Alexander, C. (2003) Mathematical Assessment of Object-oriented Design Quality, IEEE Transactions on Software Engineering 29(11), 10501053. doi: 10. 1109/TSE.2003.1245306
  18. [18] Fernandez-Sanz, L., and S. Misra (2012) Practical Application of UML Activity Diagrams for the Generation of Test Cases, Proc. of Romanian Academy-Series A: Mathematics, Physics, Technical Sciences, Information Science, 13, 251260.
  19. [19] Chung, F. (2014) A Brief Survey of Page Rank Algorithms, IEEE Transactions on Network Science and Engineering 1(1), 3842. doi: 10.1109/TNSE.2014. 2380315
  20. [20] Mihalcea, R., and P. Tarau (2004) Textrank: Bringing Order into Texts, Proc. of EMNLP 2004, D. Lin and D. Wu, Eds. Barcelona, Spain: Association for Computational Linguistics, 404411. https://digital.library.



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