Skip to main content
SpringerLink
Log in

Relevant Slicing of Feature-Oriented Programs

  • Conference paper
  • First Online:
Progress in Advanced Computing and Intelligent Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 563))

  • 782 Accesses

Abstract

We propose an approach for computing relevant slices for feature-oriented programs. Our approach is based on an intermediate representation of the program called dynamic feature dependence graph (DFDG). We have named our proposed approach feature relevant slicing (FRS) algorithm. Our approach first computes the dynamic slice for a test case corresponding to the desired program location. Then, it determines the potential dependency for the desired program location, and eventually, it computes relevant slice using FRS algorithm.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. Apel, S., Leich, T., Rosenmuller, M., Saake, G.: Combining feature-oriented and aspect-oriented programming to support software evolution. In: Proceedings of the 2nd ECOOP Workshop on Reflection, AOP and MetaData for Software Evolution (RAM-SE), pp. 3–16. School of Computer Science, University of Magdeburg (July 2005)

    Google Scholar 

  2. Apel, S., Leich, T., Rosenmuller, M., Saake, G.: FeatureC++: feature-oriented and aspect-oriented programming in C++. Technical report (2005)

    Google Scholar 

  3. Apel, S., Leich, T., Rosenmuller, M., Saake, G.: FeatureC++: on the symbiosis of feature-oriented and aspect-oriented programming. In: Proceedings of the International Conference on Generative Programming and Component Engineering (GPCE’05), pp. 125–140. Springer (2005)

    Google Scholar 

  4. Batory, D.: A tutorial on feature oriented programming and the AHEAD Tool Suite. In: Proceedings of the 2005 International Conference on Generative and Transformational Techniques in Software Engineering (GTTSE’05), pp. 3–35. Berlin, Heidelberg (2006)

    Google Scholar 

  5. Chauhan, N.: Software Testing: Principles and Practices, 3rd edn. Oxford University Press (2012)

    Google Scholar 

  6. Gyimothy, T., Beszedes, A., Forgacs, I.: An efficient relevant slicing method for debugging. ACM SIGSOFT Softw. Eng. Notes 24(6), 303–321 (1999)

    Article  Google Scholar 

  7. Jeffrey, D., Gupta, N.: Test case prioritization using relevant slices. In: Proceedings of 30th Annual International Computer Software and Applications Conference (COMPSAC’06), pp. 411–420. IEEE, 17–21 September 2006

    Google Scholar 

  8. Jeffrey, D., Gupta, N.: Experiments with test case prioritization using relevant slices. J. Syst. Softw. 81, 196–221 (2008)

    Article  Google Scholar 

  9. Korel, B., Laski, J.: Algorithmic software fault localization. In: Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences, pp. 246–252 (1991)

    Google Scholar 

  10. Prehofer, C.: Feature-oriented programming: a fresh look at objects. In: Proceedings of 11th European Conference on Object-Oriented Programming (ECOOP), pp. 419–443 (1997)

    Google Scholar 

  11. Sahu, M., Mohapatra, DP.: Dynamic slicing of feature-oriented programs. In: Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics (ICACNI 2015), pp. 381–388. Bhubaneswar (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of CSE, National Institute of Technology, Rourkela, 769008, Odisha, India

    Madhusmita Sahu & Durga Prasad Mohapatra

Authors
  1. Madhusmita Sahu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Durga Prasad Mohapatra
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Madhusmita Sahu .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science, Białystok University of Technology, Białystok, Poland

    Khalid Saeed

  2. Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

    Nabendu Chaki

  3. C.V. Raman College of Engineering, Bhubaneswar, Odisha, India

    Bibudhendu Pati

  4. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

  5. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Durga Prasad Mohapatra

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

Sahu, M., Mohapatra, D.P. (2018). Relevant Slicing of Feature-Oriented Programs. In: Saeed, K., Chaki, N., Pati, B., Bakshi, S., Mohapatra, D. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 563. Springer, Singapore. https://doi.org/10.1007/978-981-10-6872-0_31

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-6872-0_31

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6871-3

  • Online ISBN: 978-981-10-6872-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation