Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Mapping Class Dependencies for Fun and Profit

  • Conference paper
  • First Online:
Search-Based Software Engineering (SSBSE 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11036))

Included in the following conference series:

  • 1121 Accesses

Abstract

Classes depend on other classes to perform certain tasks. By mapping these dependencies, we may be able to improve software quality. We have developed a prototype framework for generating optimized groupings of classes coupled to targets of interest. From a pilot study investigating the value of coupling information in test generation, we have seen that coupled classes generally have minimal impact on results. However, we found 23 cases where the inclusion of coupled classes improves test suite efficacy, with an average improvement of 120.26% in the likelihood of fault detection. Seven faults were detected only through the inclusion of coupled classes. These results offer lessons on how coupling information could improve automated test generation.

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 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 74.99
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.

    Available from https://github.com/Greg4cr/Coupling-Mapping.

  2. 2.

    Experimentation suggested that convergence was often reached before that time.

  3. 3.

    Available from http://defects4j.org.

  4. 4.

    https://github.com/Greg4cr/defects4j/blob/master/framework/projects/CommonsCodec/patches/[12/15/20].src.patch.

  5. 5.

    https://github.com/rjust/defects4j/blob/master/framework/projects/Math/patches/31.src.patch.

References

  1. Alexander, R.T., Offutt, A.J.: Criteria for testing polymorphic relationships. In: Proceedings of 11th International Symposium on Software Reliability Engineering, pp. 15–23 (2000)

    Google Scholar 

  2. Gay, G.: Generating effective test suites by combining coverage criteria. In: Menzies, T., Petke, J. (eds.) SSBSE 2017. LNCS, vol. 10452, pp. 65–82. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66299-2_5

    Chapter  Google Scholar 

  3. Jin, Z., Offutt, A.J.: Coupling-based criteria for integration testing. Softw. Test. Verif. Reliab. 8(3), 133–154 (1998). https://onlinelibrary.wiley.com

  4. Just, R., Jalali, D., Ernst, M.D.: Defects4J: a database of existing faults to enable controlled testing studies for Java programs. In: Proceedings of the 2014 International Symposium on Software Testing and Analysis, ISSTA 2014, pp. 437–440. ACM, New York (2014). https://doi.org/10.1145/2610384.2628055

  5. Pan, W., Jiang, B., Xu, Y.: Refactoring packages of objectoriented software using genetic algorithm based community detection technique. Int. J. Comput. Appl. Technol. 48(3), 185–194 (2013). https://doi.org/10.1504/IJCAT.2013.056914

    Article  Google Scholar 

  6. Poshyvanyk, D., Marcus, A.: The conceptual coupling metrics for object-oriented systems. In: 22nd IEEE International Conference on Software Maintenance, pp. 469–478, September 2006

    Google Scholar 

  7. Rojas, J.M., Campos, J., Vivanti, M., Fraser, G., Arcuri, A.: Combining multiple coverage criteria in search-based unit test generation. In: Barros, M., Labiche, Y. (eds.) SSBSE 2015. LNCS, vol. 9275, pp. 93–108. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-22183-0_7

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of South Carolina Salkehatchie, Allendale, SC, USA

    Allen Kanapala

  2. University of South Carolina, Columbia, SC, USA

    Gregory Gay

Authors
  1. Allen Kanapala
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gregory Gay
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gregory Gay .

Editor information

Editors and Affiliations

  1. State University of Maringá, Maringá, Brazil

    Thelma Elita Colanzi

  2. University of Sheffield, Sheffield, United Kingdom

    Phil McMinn

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kanapala, A., Gay, G. (2018). Mapping Class Dependencies for Fun and Profit. In: Colanzi, T., McMinn, P. (eds) Search-Based Software Engineering. SSBSE 2018. Lecture Notes in Computer Science(), vol 11036. Springer, Cham. https://doi.org/10.1007/978-3-319-99241-9_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-99241-9_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99240-2

  • Online ISBN: 978-3-319-99241-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation