Skip to main content

PLeTs: A Software Product Line for Testing Tools

  • Chapter
  • First Online:
UML-Based Software Product Line Engineering with SMarty

Abstract

Software testing is a fundamental activity to improve software quality. However, software testing is one of the most time-consuming and expensive activities of the software development process. Therefore, several testing tools have already been developed to support software testing, including tools for model-based testing (MBT), which is a testing technique to automatically generate testing artifacts from the system model. Some of the advantages of MBT include lower cost and less effort to generate test cases. Therefore, in the last years, a diversity of commercial, academic, and open-source tools to support MBT has been developed to better explore these advantages. Although several testing tools to support MBT were produced in the past years, most of them have been individually and independently developed based on a single architecture. Therefore, it is difficult to integrate, evolve, maintain, and reuse them. One strategy that could minimize those problems would be to use software product lines (SPL), which allows to systematically generating software products at lower costs, in a shorter time, and with higher quality. Therefore, this chapter presents an SPL for testing tools that support MBT (PLeTs (This chapter is an expanded version of previously published paper Rodrigues et al. (PLeTs - Test Automation using Software Product Lines and Model-Based Testing. In: Proceedings of the 22th International Conference on Software Engineering and Knowledge Engineering, pp. 483–488, 2010.))) and how we applied the Stereotype-based Management of Variability (SMarty) approach to manage and resolve the dependencies among components and to represent the variability in PLeTs architecture. PLeTs is a component-based SPL developed to automatically generate MBT tools. The PLeTs MBT tools aim to automate any of the test activities of MBT, for example, the generation of test cases and/or test scripts based on the system model. Basically, PLeTs MBT tools receive, as input, a system model, generate the test cases/scripts, execute the test scripts, and then compare the produced results. Since PLeTs can generate tools that connect to any commercial testing tool, a software testing team can incorporate their own testing tools, hence reducing effort and investment. In a nutshell, the main PLeTs goal is to reuse SPL artifacts and use existing testing tools to ease the development of new MBT tools.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 119.99
Price excludes VAT (USA)
  • Durable hardcover 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abbors, F., Backlund, A., Truscan, D.: MATERA - An integrated framework for model-based testing. In: Proceedings of the 17th IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, pp. 321–328 (2010)

    Google Scholar 

  2. Andaloussi, B.S., Braun, A.: A test specification method for software interoperability tests in offshore scenarios: A case study. In: Proceedings of the IEEE International Conference on Global Software Engineering, pp. 169–178 (2006)

    Google Scholar 

  3. Apache: JMeter Performance Test. https://jmeter.apache.org/. Accessed 20 March 2020

  4. Barna, C., Litoiu, M., Ghanbari, H.: Model-based performance testing. In: Proceedings of the 33rd International Conference on Software Engineering, pp. 872–875 (2011)

    Google Scholar 

  5. Bernardi, S., Merseguer, J.: A UML profile for dependability analysis of real-time embedded systems. In: Proceedings of the 6th International Workshop on Software and Performance, pp. 115–124 (2007)

    Google Scholar 

  6. Bernardino, M., Rodrigues, E.M., Zorzo, A.F., Marchezan, L.: Systematic mapping study on MBT: tools and models. IET Software 11, 141–155(14) (2017)

    Article  Google Scholar 

  7. Bertolino, A.: Software testing research: achievements, challenges, dreams. In: Proceedings of the Future of Software Engineering, pp. 85–103 (2007)

    Google Scholar 

  8. Cartaxo, E., Neto, F., Machado, P.: Test case generation by means of UML sequence diagrams and labeled transition systems. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pp. 1292–1297 (2007)

    Google Scholar 

  9. Costa, L.T.: Conjunto de Características para Teste de Desempenho: Uma Visão a Partir de Ferramentas. Master’s Thesis (in Portuguese), Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil (2012)

    Google Scholar 

  10. Costa, L.T., Czekster, R.M., Oliveira, F.M., Rodrigues, E.D.M., Silveira, M.B., Zorzo, A.F.: Generating performance test scripts and scenarios based on abstract intermediate models. In: Proceedings of the 24th International Conference on Software Engineering and Knowledge Engineering, pp. 112–117 (2012)

    Google Scholar 

  11. Demathieu, S., Thomas, F., André, C., Gérard, S., Terrier, F.: First experiments using the UML profile for marte. In: Proceedings of the 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing, pp. 50–57 (2008)

    Google Scholar 

  12. Dias Neto, A.C., Subramanyan, R., Vieira, M., Travassos, G.H.: A survey on model–based testing approaches: A systematic review. In: Proceedings of the 1st ACM international Workshop on Empirical Assessment of Software Engineering Languages and Technologies, pp. 31–36 (2007)

    Google Scholar 

  13. El-Far, I.K., Whittaker, J.A.: Model-based software testing. In: Marciniak, J. (ed.) Encyclopedia of Software Engineering, pp. 825–837. Wiley, Hoboken (2001)

    Google Scholar 

  14. Farooq, Q., Lam, C.P.: Evolving the quality of a model-based test suite. In: Proceedings of the IEEE International Conference on Software Testing, Verification, and Validation Workshops, pp. 141–149 (2009)

    Google Scholar 

  15. Farooq, Q., Iqbal, M., Malik, Z., Riebisch, M.: A model-based regression testing approach for evolving software systems with flexible tool support. In: Proceedings of the 17th IEEE International Conference and Workshops on Engineering of Computer Based Systems, pp. 41–49 (2010)

    Google Scholar 

  16. Focus, M.: LoadRunner Professional. https://www.microfocus.com/en-us/products/loadrunner-professional/. Accessed 20 Feb 2020

  17. Gonczy, L., Heckel, R., Varro, D.: Model-based testing of service infrastructure components. In: Proceedings of the 7th International Workshop Testing of Software and Communicating Systems, pp. 155–170 (2007)

    Google Scholar 

  18. Hasling, B., Goetz, H., Beetz, K.: Model-based testing of system requirements using UML use case models. In: Proceedings of the 1st International Conference on Software Testing, Verification, and Validation, pp. 367–376 (2008)

    Google Scholar 

  19. Heiskanen, H., Jääskeläinen, A., Katara, M.: Debug support for model-based GUI testing. In: Proceedings of the 3rd International Conference on Software Testing, Verification and Validation, pp. 25–34 (2010)

    Google Scholar 

  20. Kang, K.C, Cohen, S.G., Hess, J.A., Novak, W.E., Peterson, A.S. Feature-Oriented Domain Analysis (FODA) Feasibility Study. Carnegie-Mellon University, Pittsburgh Software Engineering Institute (1990)

    Book  Google Scholar 

  21. Kästner, C., Apel, S., Kuhlemann, M.: Granularity in software product lines. In: Proceedings of the 30th International Conference on Software Engineering, pp. 311–320 (2008)

    Google Scholar 

  22. Korel, B.: Automated software test data generation. IEEE Trans. Softw. Eng. 16, 870–879 (1990)

    Article  Google Scholar 

  23. Laser, M.S., Rodrigues, E.M., Domingues, A., Oliveira, F., Zorzo, A.F.: Research notes on the architectural evolution of a software product line. Int. J. Softw. Eng. Knowled. Eng. 25, 1753–1758 (2015)

    Article  Google Scholar 

  24. Legeard, B., Utting, M.: Practical Model-Based Testing: A Tools Approach. Morgan Kaufmann Publishers, Burlington (2006)

    Google Scholar 

  25. Linden, F.J., Schmid, K., Rommes, E.: Software Product Lines in Action: The Best Industrial Practice in Product Line Engineering. Springer, New York (2007)

    Book  Google Scholar 

  26. Löffler, R., Meyer, M., Gottschalk, M.: Formal Scenario-based requirements specification and test case generation in healthcare applications. In: Proceedings of the Workshop on Software Engineering in Health Care, pp. 57–67 (2010)

    Google Scholar 

  27. Memon, A.M.: An event-flow model of GUI-based applications for testing: Research articles. Softw. Testing Verif. Reliab. 17, 137–157 (2007)

    Article  Google Scholar 

  28. Menascé, D.A.: TPC-W: A benchmark for e-Commerce. IEEE Int. Comput. 6(3), 83–87 (2002)

    Article  Google Scholar 

  29. Myers, G.J., Sandler, C., Badgett, T.: The Art of Software Testing. Wiley, Hoboken (2011)

    Google Scholar 

  30. Olimpiew, E.M.: Model-based testing for software product lines. Ph.D. Thesis, George Mason University, Washington (2008)

    Google Scholar 

  31. OliveiraJr, E., Gimenes, I.M.S., Maldonado, J.C.: Systematic management of variability in UML-based software product lines. J. Univer. Comput. Sci. 16, 2374–2393 (2010)

    Google Scholar 

  32. OMG: Unified Modeling Language - UML. http://www.uml.org/. Accessed 30 April 2020

  33. Perez, J., Guckenheimer, S.: Software Engineering with Microsoft Visual Studio Team System. Pearson Education, London (2006)

    Google Scholar 

  34. Rodrigues, E.M., Viccari, L.D., Zorzo, A.F.: PLeTs - Test automation using software product lines and model-based testing. In: Proceedings of the 22th International Conference on Software Engineering and Knowledge Engineering, pp. 483–488 (2010)

    Google Scholar 

  35. Rodrigues, E.M., Zorzo, A.F., OliveiraJr, E, Gimenes, I.M.S., Maldonado, J.C., Domingues, A.R.: PlugSPL: An automated environment for supporting plugin-based software product lines. In: Proceedings of the 24th International Conference on Software Engineering and Knowledge Engineering, pp. 647–650 (2012)

    Google Scholar 

  36. Roubtsov, V.: EMMA: a Free Java Code Coverage Tool. http://emma.sourceforge.net. Accessed 20 March 2020

  37. Sarma, M., Murthy, P., Jell, S., Ulrich, A.: Model-based testing in industry: A case study with two MBT tools. In: Proceedings of the 5th Workshop on Automation of Software Test, pp. 87–90 (2010)

    Google Scholar 

  38. Schulz, S., Honkola, J., Huima, A.: Towards model-based testing with architecture models. In: Proceedings of the 14th Annual IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, pp. 495–502 (2007)

    Google Scholar 

  39. Shafique, M., Labiche, Y.: A systematic review of model-based testing tool support. Technical Report, Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada (2010). http://squall.sce.carleton.ca/pubs/tech_report/TR_SCE-10-04.pdf

    Google Scholar 

  40. Silveira, M.B.: Conjunto de Características para Teste de Desempenho: uma Visão a partir de Modelos. Master’s thesis (in Portuguese), Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil (2012)

    Google Scholar 

  41. Silveira, M.B., Rodrigues, E.M., Zorzo, A.F., Vieira, H., Oliveira, F.M.: Model-based automatic generation of performance test scripts. In: Proceedings of the 13th International Conference on Software Engineering and Knowledge Engineering, pp. 258–263 (2011)

    Google Scholar 

  42. Stefanescu, A., Wieczorek, S., Kirshin, A.: MBT4Chor: A model-based testing approach for service choreographies. In: Proceedings of the 5th European Conference on Model Driven Architecture - Foundations and Applications, pp. 313–324 (2009)

    Google Scholar 

  43. Stefanescu, A., Wieczorek, S., Wendland, M.F.: Using the UML testing profile for enterprise service choreographies. In: Proceedings of the 36th Euromicro Conference on Software Engineering and Advanced Applications, pp. 12–19 (2010)

    Google Scholar 

  44. Thum, T., Kastner, C., Erdweg, S., Siegmund, N.: Abstract features in feature modeling. In: Proceedings of the 15th International Software Product Line Conference, pp. 191–200 (2011)

    Google Scholar 

  45. Thüm, T., Kästner, C., Benduhn, F., Meinicke, J., Saake, G., Leich, T.: FeatureIDE: An extensible framework for feature-oriented software development. Sci. Comput. Programm. 1, 1–16 (2012)

    Google Scholar 

  46. Veanes, M., Campbell, C., Grieskamp, W., Schulte, W., Tillmann, N., Nachmanson, L.: Model-based testing of object-oriented reactive systems with spec explorer. In: Formal Methods and Testing, pp. 39–76. Springer, Berlin (2008)

    Google Scholar 

  47. Vincenzi, A., Maldonado, J., Wong, W., Delamaro, M.: Coverage testing of Java programs and components. Sci. Comput. Programm. 56, 211–230 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  48. Yuan, Y., Li, Z., Sun, W.: A graph-search based approach to BPEL4WS test generation. In: International Conference on Software Engineering Advances, pp. 1–9 (2012)

    Google Scholar 

Download references

Acknowledgement

This work is partially supported by the Brazilian funding agency CNPq (Grant 306250/2021-7).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elder M. Rodrigues .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Rodrigues, E.M., Zorzo, A.F., Marchezan, L. (2023). PLeTs: A Software Product Line for Testing Tools. In: OliveiraJr, E. (eds) UML-Based Software Product Line Engineering with SMarty. Springer, Cham. https://doi.org/10.1007/978-3-031-18556-4_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-18556-4_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-18555-7

  • Online ISBN: 978-3-031-18556-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics