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A Quantitative Approach for Ranking Change Risk of Component-Based Software

  • Chengying Mao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4707)

Abstract

The rapid evolution of component-based software brings great challenges to its maintenance in the later phase, so it is quite necessary to measure the risk its changes bring to the whole system. Through redefining the component dependency graph, the paper presents a two-step approach to assess the change risk of component-based software (CBS), which results from the partial changes of components in system. After obtaining the change risk of single component, we transform the component dependency graph to a component dependency tree, and then calculate the change risk of the whole CBS according to paths in the tree. In addition, a case study is made to illustrate how the technique works.

Keywords

Component-based software change risk component dependency graph component dependency tree slicing 

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References

  1. 1.
    Pour, G.: Component-Based Software Development Approach: New Opportunities and Challenges. In: Proc. of Technology of Object-Oriented Languages, pp. 375–383 (1998)Google Scholar
  2. 2.
    Lo, J.H., Kuo, S.Y., Lyu, M.R., Huang, C.-Y.: Optimal Resource Allocation and Reliability Analysis for Component-Based Software Applications. In: Proc. of COMPSAC’02, pp. 7–12. IEEE Press, New York (2002)Google Scholar
  3. 3.
    Yacoub, S., Cukic, B., Ammar, H.H.: A Scenario-Based Reliability Analysis Approach for Component-Based Software. IEEE Transaction on Reliability 53(4), 465–480 (2004)CrossRefGoogle Scholar
  4. 4.
    Mao, X.G., Deng, Y.J.: A General Model for Component-Based Software Reliability. Journal of Software 15(1), 27–32 (2004)zbMATHGoogle Scholar
  5. 5.
    Gokhale, S.S.: Software Reliability Analysis with Component-Level Fault Tolerance. In: Proc. of Annual Reliability and Maintainability Symposium, pp. 610–614. IEEE Press, New York (2005)CrossRefGoogle Scholar
  6. 6.
    Ottevanger, I.: A Risk-Based Test Strategy. IQUIP Informatica B. V, pp. 1–13 (1999)Google Scholar
  7. 7.
    Zhao, J., Yang, H., Xiang, L., Xu, B.: Change Impact Analysis to Support Architecture Evolution. Journal of Software Maintenance and Evolution: Research and Practice 14, 317–333 (2002)zbMATHCrossRefGoogle Scholar
  8. 8.
    Yacoub, S., Ammar, H.H.: A Methodology for Architectural-Level Reliability Risk Analysis. IEEE Transaction on Software Engineering 28(6), 529–547 (2002)CrossRefGoogle Scholar
  9. 9.
    Goseva-Popstojanova, K., Hassan, A., Guedem, A., Abdelmoez, W., Nassar, D.E.M., Ammar, H., Mili, A.: Architectural-Level Risk Analysis using UML. IEEE Transaction on Software Engineering 29(10), 946–959 (2003)CrossRefGoogle Scholar
  10. 10.
    Wu, Y., Pan, D., Chen, M.H.: Techniques for Testing Component-Based Software. In: Proc. of ICECCS’01, pp. 222–232. IEEE Press, New York (2001)Google Scholar
  11. 11.
    Liu, W., Dasiewicz, P.: Component Interaction Testing using Model-Checking. In: Proc. of Canadian Conference on Electrical and Computer Engineering, pp. 41–46. IEEE Press, New York (2001)Google Scholar
  12. 12.
    Li, B., Zhou, Y., Wang, Y., Mo, J.: Matrix-Based Component Dependency Representation and Its applications in Software Quality Assurance. In: ACM SIGPLAN Notices, vol. 40(11), pp. 29–36. ACM Press, New York (2005)Google Scholar
  13. 13.
    Chengying, M., Yansheng, L.: Regression Testing for Component-based Software via Built-in Test Design. In: Proc. of the 22nd Annual ACM Symposium on Applied Computing (SAC’07), ACM Press, New York (to appear, 2007)Google Scholar
  14. 14.
    Acree A.T., Budd T.A., DeMillo R.A., Lipton R.J., Sayward F.G.: Mutation Analysis. Technical Report GIT-ICS-79/08, School of Information and Computer Science, Georgia Institute of Technology (1979)Google Scholar
  15. 15.
    Procedures for Performing Failure Mode Effects and Criticality Analysis. US MIL_STD_1629A/Notice 2 (1984)Google Scholar
  16. 16.
    Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank Citation Ranking: Bringing Order to the Web. Technical Report, Computer Science Department, Stanford University (1999)Google Scholar
  17. 17.
    Tip, F.: A Survey of Program Slicing Techniques. Programming Languages 3(3), 121–189 (1995)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Chengying Mao
    • 1
    • 2
  1. 1.School of Software, Jiangxi University of Finance and Economics, 330013 NanchangChina
  2. 2.School of Management, Huazhong University of Science and Technology, 430074 WuhanChina

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