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Research on the Method of Splitting Large Class Diagram Based on Multilevel Partitioning

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Intelligent Data Engineering and Automated Learning – IDEAL 2017 (IDEAL 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10585))

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Abstract

The UML class diagrams generated in reverse engineering are often large and the readability is poor. In this paper, an automatic split algorithm based on multilevel partitioning technology is proposed. According to the coupling degree between classes, the classes with high coupling are divided into the same part and the class with low coupling are separated. Experimental results show that, compared with the traditional manual division, the class diagram obtained by the automatic splitting method is more readable and consumes less time. Using the automatic splitting method to split the large class diagram can save a lot of time, improving work efficiency greatly.

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References

  1. Gousios, G., Pinzger, M., Van Deursen, A., et al.: An exploratory study of the pull-based software development model. In: 36th International Conference on Software Engineering, Hyderabad, pp. 345–355. ACM (2014)

    Google Scholar 

  2. Decker, M.J., Swartz, K., Collard, M.L., et al.: A tool for efficiently reverse engineering accurate UML class diagrams. In: IEEE International Conference on Software Maintenance and Evolution, pp. 607–609 (2016)

    Google Scholar 

  3. Jing, J., Wu, L.A., Sarandy, M.S., Muga, J.G.: Inverse engineering control in open quantum systems. Phys. Rev. A. 88, 053422 (2013)

    Article  Google Scholar 

  4. http://astah.net/editions/community

  5. Zhiyi, M.A., Junfeng, Z., Xiangwen, M., Wenjuan, Z.: Research and implementation of Jade bird object-oriented software modeling tool. J. Softw. 14, 97–102 (2003)

    Google Scholar 

  6. Booch, G., Rumbaugh, J., Vieweg, I., Werner, C., Wagner, K.P., et al.: Unified Modeling Language (UML). Einfhrung Wirtschaftsinformatik, pp. 367–377. Gabler Verlag (2012)

    Google Scholar 

  7. Miller, G.A.: The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol. Rev. 101, 343–352 (1956)

    Article  Google Scholar 

  8. Kernighan, B.W., Lin, S.: An efficient heuristic procedure for partitioning graphs. Bell Syst. Tech. J. 49, 291–307 (1970)

    Article  MATH  Google Scholar 

  9. Kaneiwa, K., Satoh, K.: On the complexities of consistency checking for restricted UML class diagrams. Theor. Comput. Sci. 411, 301–323 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  10. Briand, L.C., Daly, J.W., Wust, J.K., et al.: A unified framework for coupling measurement in object-oriented systems. Empirical Softw. Eng. 3, 65–117 (1998)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China

    JinShuai Li, XiaoFei Zhao & BaoShan Sun

Authors
  1. JinShuai Li
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  2. XiaoFei Zhao
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  3. BaoShan Sun
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Corresponding author

Correspondence to JinShuai Li .

Editor information

Editors and Affiliations

  1. University of Manchester, Manchester, United Kingdom

    Hujun Yin

  2. School of Electronic and Electrical Engineering, Nanjing University, Nanjiing, China

    Yang Gao

  3. Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Songcan Chen

  4. Guilin University of Electronic Technology, Guilin, China

    Yimin Wen

  5. Guilin University of Electronic Technology, Guilin, China

    Guoyong Cai

  6. Guilin University of Electronic Technology, Guilin, China

    Tianlong Gu

  7. Beijing University of Posts and Telecommunications, Beijing, China

    Junping Du

  8. University of Seville, Seville, Spain

    Antonio J. Tallón-Ballesteros

  9. Southeast University, Nanjing, China

    Minling Zhang

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Li, J., Zhao, X., Sun, B. (2017). Research on the Method of Splitting Large Class Diagram Based on Multilevel Partitioning. In: Yin, H., et al. Intelligent Data Engineering and Automated Learning – IDEAL 2017. IDEAL 2017. Lecture Notes in Computer Science(), vol 10585. Springer, Cham. https://doi.org/10.1007/978-3-319-68935-7_19

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  • DOI: https://doi.org/10.1007/978-3-319-68935-7_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68934-0

  • Online ISBN: 978-3-319-68935-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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