Skip to main content
SpringerLink
Log in

JCIA: A Tool for Change Impact Analysis of Java EE Applications

  • Conference paper
  • First Online:
Information Systems Design and Intelligent Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 672))

Abstract

This paper presents a novel tool for change impact analysis of Java EE applications named JCIA. Analyzing the source code of the Java EE applications is a big challenge because of the complexity and large scale of the applications. Moreover, components in Java EE applications are not only in Java language but also in different languages such as XHTML, XML, JSP. This tool analyzes source code of Java EE applications for building the dependency graphs (called JDG). The main idea for generating JDG is based on developing the source code analyzers for the typical technologies of Java EE such as JavaServer Faces, Context and Dependency Injection, Web services. Based on the obtained JDG and the given change sets, JCIA calculates the corresponding impact sets by applying the change impact analysis (CIA) based on change types and Wave-CIA method. The calculated impact sets help managers in planning and estimating changes, developers in implementing changes, and testers with regression testing.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
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

Notes

  1. 1.

    http://www.eclipse.org/jdt/.

  2. 2.

    https://docs.oracle.com/cd/E19798-01/821-1841/gjbju/index.html.

  3. 3.

    https://github.com/javaee-samples/javaee7-eclipse.

  4. 4.

    http://docs.oracle.com/javaee/6/tutorial/doc/gkgjw.html.

References

  1. L. Badri, M. Badri, and N. Joly. Towards a change impact analysis model for java programs: An empirical evaluation. Journal of Software, 10(4):441–453, 2015.

    Article  Google Scholar 

  2. L. Badri, M. Badri, and D. St-Yves. Supporting predictive change impact analysis: a control call graph based technique. In APSEC’05, pages 167–175. IEEE, 2005.

    Google Scholar 

  3. J. Buckner, J. Buchta, M. Petrenko, and V. Rajlich. Jripples: A tool for program comprehension during incremental change. In Proceedings of the 13th International Workshop on Program Comprehension, IWPC ’05, pages 149–152, Washington, DC, USA, 2005. IEEE Computer Society.

    Google Scholar 

  4. B. Dit, M. Wagner, S. Wen, W. Wang, M. Linares-Vásquez, D. Poshyvanyk, and H. Kagdi. Impactminer: A tool for change impact analysis. In Companion Proc. of the 36th Int. Conf. on Soft. Engineering, ICSE Companion 2014, pages 540–543, New York, NY, USA, 2014. ACM.

    Google Scholar 

  5. L. Hattori, D. Guerrero, J. Figueiredo, J. Brunet, and J. Damasio. On the precision and accuracy of impact analysis techniques. In Proc. of the 7th IEEE/ACIS Int. Conf. on Computer and Information Science, pages 513–518. IEEE, 2008.

    Google Scholar 

  6. A. Jain. Data visualization with the d3. js javascript library. Journal of Computing Sciences in Colleges, 30(2):139–141, 2014.

    Google Scholar 

  7. E. Jendrock, R. Cervera-Navarro, I. Evans, D. Gollapudi, K. Haase, W. Markito, and C. Srivathsa. The Java EE6 Tutorial: Advanced Topics. Addison-Wesley, 2013.

    Google Scholar 

  8. M. Lee, A. J. Offutt, and R. T. Alexander. Algorithmic analysis of the impacts of changes to object-oriented software. In Tech. of OO Languages and Systems, 2000. TOOLS 34. Proc. 34th Int. Con. on, pages 61–70, 2000.

    Google Scholar 

  9. S. Lehnert. A taxonomy for software change impact analysis. In Proc. of the 12th Int. Workshop on Principles of Soft. Evol. and the 7th Annual ERCIM Workshop on Soft. Evolution, pages 41–50, New York, NY, USA, 2011. ACM.

    Google Scholar 

  10. B. Li, X. Sun, H. Leung, and S. Zhang. A survey of code-based change impact analysis techniques. Soft. Testing, Verification and Reliability, 23(8):613–646, 2013.

    Google Scholar 

  11. B. Li, Q. Zhang, X. Sun, and H. Leung. Wave-cia: a novel cia approach based on call graph mining. In Proc. of the 28th Annual ACM Sym. on Applied Computing, pages 1000–1005. ACM, 2013.

    Google Scholar 

  12. D. Poshyvanyk, A. Marcus, R. Ferenc, and T. Gyimóthy. Using information retrieval based coupling measures for impact analysis. Empirical software engineering, 14(1):5–32, 2009.

    Article  Google Scholar 

  13. X. Ren, F. Shah, F. Tip, B. G. Ryder, and O. Chesley. Chianti: A tool for change impact analysis of java programs. SIGPLAN Not., 39(10):432–448, Oct. 2004.

    Article  Google Scholar 

  14. X. Sun, B. Li, C. Tao, W. Wen, and S. Zhang. Change impact analysis based on a taxonomy of change types. In 2010 IEEE 34th Annual Computer Software and Applications Conference, pages 373–382. IEEE, 2010.

    Google Scholar 

  15. T. Zimmermann, A. Zeller, P. Weissgerber, and S. Diehl. Mining version histories to guide software changes. IEEE Trans. on Soft. Engineering, 31(6):429–445, 2005.

    Article  Google Scholar 

Download references

Acknowledgements

This work is supported by the project no. QG.16.31 granted by Vietnam National University, Hanoi (VNU).

Author information

Authors and Affiliations

  1. Academy of Cryptography Techniques, 141 Chien Thang, Hanoi, Vietnam

    Le Ba Cuong

  2. VNU University of Engineering and Technology, 144 Xuan Thuy, Hanoi, Vietnam

    Le Ba Cuong, Van Son Nguyen, Duc Anh Nguyen, Pham Ngoc Hung & Dinh Hieu Vo

Authors
  1. Le Ba Cuong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Van Son Nguyen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Duc Anh Nguyen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Pham Ngoc Hung
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Dinh Hieu Vo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Le Ba Cuong .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. Technology and Engineering Division, Duy Tan University, Da Nang, Vietnam

    Bao Le Nguyen

  3. Duy Tan University, Da Nang, Vietnam

    Nhu Gia Nguyen

  4. Department of CSE, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

  5. Faculty of Information Technology , Hai Phong University, Hai Phong, Vietnam

    Dac-Nhuong Le

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Cuong, L.B., Nguyen, V.S., Nguyen, D.A., Hung, P.N., Vo, D.H. (2018). JCIA: A Tool for Change Impact Analysis of Java EE Applications. In: Bhateja, V., Nguyen, B., Nguyen, N., Satapathy, S., Le, DN. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 672. Springer, Singapore. https://doi.org/10.1007/978-981-10-7512-4_11

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-7512-4_11

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7511-7

  • Online ISBN: 978-981-10-7512-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation