Skip to main content
SpringerLink
Log in

Evolutionary Scriptless Testing

  • Conference paper
  • First Online:
Research Challenges in Information Science (RCIS 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 446))

Included in the following conference series:

  • 1760 Accesses

Abstract

Automated scriptless testing approaches use Action Selection Rules (ASR) to generate on-the-fly test sequences when testing a software system. Currently, these rules are manually designed and implemented. In this paper we present our research on how to automatically create ASRs by evolving them using an evolutionary algorithm. Expected results are an automated system for Evolutionary Scriptless Testing containing a representation of ASRs, different fitness functions and manipulation operators.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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.

    www.ivves.eu.

References

  1. Testar on github. https://github.com/TESTARtool/TESTAR_dev

  2. Testar project download page. https://testar.org/download/

  3. Bauersfeld, S., Vos, T.E., Condori-Fernández, N., Bagnato, A., Brosse, E.: Evaluating the testar tool in an industrial case study. In: Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, pp. 1–9 (2014)

    Google Scholar 

  4. Chahim, H., Duran, M., Vos, T.E.J., Aho, P., Condori Fernandez, N.: Scriptless testing at the GUI level in an industrial setting. In: Dalpiaz, F., Zdravkovic, J., Loucopoulos, P. (eds.) RCIS 2020. LNBIP, vol. 385, pp. 267–284. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-50316-1_16

    Chapter  Google Scholar 

  5. Esparcia-Alcázar, A.I., Almenar, F., Rueda, U., Vos, T.E.J.: Evolving rules for action selection in automated testing via genetic programming - a first approach. In: Squillero, G., Sim, K. (eds.) EvoApplications 2017. LNCS, vol. 10200, pp. 82–95. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-55792-2_6

    Chapter  Google Scholar 

  6. Esparcia-Alcázar, A.I., Almenar, F., Vos, T.E.J., Rueda, U.: Using genetic programming to evolve action selection rules in traversal-based automated software testing: results obtained with the TESTAR tool. Memetic Comput. 10(3), 257–265 (2018). https://doi.org/10.1007/s12293-018-0263-8

    Article  Google Scholar 

  7. de Groot, M.: Using evolutionary computing to improve black box monkey testing on a Graphical User Interface. Master’s thesis, Open University of the Netherlands, Heerlen, Netherlands (2018)

    Google Scholar 

  8. Harman, M., Jones, B.F.: Search-based software engineering. Inf. Softw. Technol. 43, 833–839 (2001). https://doi.org/10.1016/S0950-5849(01)00189-6

    Article  Google Scholar 

  9. Khari, M., Kumar, P.: An extensive evaluation of search-based software testing: a review. Soft Comput. 23(6), 1933–1946 (2019). https://doi.org/10.1007/s00500-017-2906-y

    Article  Google Scholar 

  10. McMinn, P.: Search-based software testing: past, present and future. In: 2011 IEEE Fourth International Conference on Software Testing, Verification and Validation Workshops, pp. 153–163 (2011). https://doi.org/10.1109/ICSTW.2011.100

  11. Meinke, K., Walkinshaw, N.: Model-based testing and model inference. In: Margaria, T., Steffen, B. (eds.) ISoLA 2012. LNCS, vol. 7609, pp. 440–443. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-34026-0_32

    Chapter  Google Scholar 

  12. Ricós, F.P., Aho, P., Vos, T., Boigues, I.T., Blasco, E.C., Martínez, H.M.: Deploying TESTAR to enable remote testing in an industrial CI pipeline: a case-based evaluation. In: Margaria, T., Steffen, B. (eds.) ISoLA 2020. LNCS, vol. 12476, pp. 543–557. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-61362-4_31

    Chapter  Google Scholar 

  13. Stoyanov, N.: Strategy based genetic algorithms approach in automated GUI testing. Master’s thesis, Eindhoven University of Technology, Eindhoven, Netherlands (2020)

    Google Scholar 

  14. Theuws, G.: Random action selection vs genetic programming: a case study in TESTAR. Master’s thesis, Open University of the Netherlands, Heerlen, Netherlands (2020)

    Google Scholar 

  15. Vos, T.E.J., Aho, P., Ricos, F.P., Rodriguez-Valdes, O., Mulders, A.: Testar - scriptless testing through graphical user interface. Softw. Test. Verification Reliabil. 31(3), e1771 (2021). https://doi.org/10.1002/stvr.1771, https://onlinelibrary.wiley.com/doi/abs/10.1002/stvr.1771

Download references

Acknowledgements

This work has been funded by the ITEA3 IVVES project, with contract number 18022.

Author information

Authors and Affiliations

  1. Open Universiteit, Heerlen, The Netherlands

    Lianne Valerie Hufkens

Authors
  1. Lianne Valerie Hufkens
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lianne Valerie Hufkens .

Editor information

Editors and Affiliations

  1. University of Twente, Enschede, The Netherlands

    Renata Guizzardi

  2. University of Geneva, CUI, Carouge, Switzerland

    Jolita Ralyté

  3. Polytechnic University of Catalonia, Barcelona, Spain

    Xavier Franch

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hufkens, L.V. (2022). Evolutionary Scriptless Testing. In: Guizzardi, R., Ralyté, J., Franch, X. (eds) Research Challenges in Information Science. RCIS 2022. Lecture Notes in Business Information Processing, vol 446. Springer, Cham. https://doi.org/10.1007/978-3-031-05760-1_55

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-05760-1_55

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05759-5

  • Online ISBN: 978-3-031-05760-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation