Skip to main content

A Research About a Conflict-Capture Method in Software Evolution

  • Conference paper
  • First Online:
The 8th International Conference on Computer Engineering and Networks (CENet2018) (CENet2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 905))

Included in the following conference series:

  • 748 Accesses

Abstract

Software evolution is an important research direction and research focus in the field of software engineering. During the process of software dynamic evolution, the existence of conflicts between evolutionary components and original components is one of the key factors determining whether the dynamic evolution process is corrected or not. To solve this problem, resource management method is introduced and the concept of resource in software evolution process is redefined. According to the different patterns of resources used, sequence, selection and conflict relationship models among components are defined. And at last, a conflict-capture algorithm, which is used to capturing the components involved in the conflict relationships, based on recourse management. The results of this paper lay a theoretical foundation for maintaining consistency before and after evolution and ensuring the correctness of dynamic evolution.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Yang, F.Q.: Thinking on the development of software engineering technology. J. Softw. 16(1), 1–7 (2005). (in Chinese)

    Article  MathSciNet  Google Scholar 

  2. Cook, S., Harrison, R., Lehman, M.M., Wernick, P.: Evolution in software systems: foundations of the SPE classification scheme: research articles. J. Softw. Maint. Evol. Res. Pract. 18(1), 1–35 (2012)

    Article  Google Scholar 

  3. Li, T.: An Approach to Modelling Software Evolution Processes. Springer, Berlin (2008)

    MATH  Google Scholar 

  4. Li, C.Y.: Research on Architecture-Based Software Dynamic Evolution. Zhejiang University (2005). (in Chinese)

    Google Scholar 

  5. Tang, X.D., Liang, H.B., Zhe, F.P.: Computer Operation System. Xidian University Press, Xi’an (2007). (in Chinese)

    Google Scholar 

  6. Ma, D.Y., Yu, S.Q., Hu, H.M.: Two Petri net models for solving philosophers’ dining problems. J. Shanghai Teach. Univ. (Nat. Sci.) 31(3), 37–40 (2002)

    Google Scholar 

  7. Yao, J., Mao, B., Xie, L.: A dag based security policy conflicts detection method. J. Comput. Res. Dev. 42(7), 1108–1114 (2005)

    Article  Google Scholar 

  8. Zhao, H.S., Tian, L., Tong, B.S.: Constraint-based conflict detection and negotiation in collaborative design. Comput. Integr. Manuf. Syst. 8(11), 896–901 (2002)

    Google Scholar 

  9. Deng, Z.M., Wang, S., Meng, X.F.: Conflict detection and resolution strategy in replicated mobile database systems. Chin. J. Comput. 25(3), 297–305 (2002)

    Google Scholar 

  10. Kircher, M., Jain, P.: Patterns for Resource Management. Post & Telecom Press, Beijing (2013)

    Google Scholar 

  11. Weir, C., Weir, C.: Small Memory Software: Patterns for Systems with Limited Memory. Addison-Wesley Longman Publishing Co., Inc., Boston (2001)

    Google Scholar 

  12. Fowler, M., Rice, D., Foemmel, M.: Patterns of Enterprise Application Architecture. Pearson Schweiz Ag, Zug (2002)

    Google Scholar 

  13. Baker, M., Buyya, R., Laforenza, D.: Grids and grid technologies for wide-area distributed computing. Softw. Pract. Exp. 32(15), 1437–1466 (2002)

    Article  Google Scholar 

  14. Bernstein, A.J.: Analysis of programs for parallel processing. IEEE Trans. Electron. Comput. 15(5), 757–763 (1966)

    Article  Google Scholar 

  15. Hawick, K.A.: High performance computing and communications glossary (1994). http://wotug.org/parallel/acronyms/hpccgloss

  16. Gao, T.L., Li, T., Yang, M., Jiang, R.: An approach to conflict resolution in software evolution process. In: ICTCS 2018, Colombo, Sri Lanka, pp. 105–111 (2018)

    Google Scholar 

  17. Grid Computing Info Centre: (2004). http://www.gridcomputing.com

  18. Gu, T.L.: Formal Methods of Software Development. Higher Education Press, Beijing (2005). (in Chinese)

    Google Scholar 

Download references

Acknowledgement

This work was supported by National Natural Science Foundation of China (Nos. 61379032, 61763048, 61263022, 61303234, 61662085), National Social Science Foundation of China (No. 12XTQ012), Science and Technology Foundation of Yunnan Province (No. 2017FB095), Yunnan Province Applied Basic Research Project (No. 2016FD060), Science Research Project of Yunnan Education (Nos. 2017ZZX001, 2017ZZX227), Key Project of Scientific Research of Yunnan Education (2015Z018), Provincial Scientific and Technological Innovation Team Project of Yunnan University (2017HC012), the 18th Yunnan Young and Middle-aged Academic and Technical Leaders Reserve Personnel Training Program (No. 2015HB038).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ming Yang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gao, T., Li, T., Zhu, R., Jiang, R., Yang, M. (2020). A Research About a Conflict-Capture Method in Software Evolution. In: Liu, Q., Mısır, M., Wang, X., Liu, W. (eds) The 8th International Conference on Computer Engineering and Networks (CENet2018). CENet2018 2018. Advances in Intelligent Systems and Computing, vol 905. Springer, Cham. https://doi.org/10.1007/978-3-030-14680-1_58

Download citation

Publish with us

Policies and ethics