PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Powiadomienia systemowe
  • Sesja wygasła!
  • Sesja wygasła!
Tytuł artykułu

Semi-automated Algorithm for Complex Test Data Generation for Interface-based Regression Testing of Software Components

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
Federated Conference on Computer Science and Information Systems (16 ; 02-05.09.2021 ; online)
Języki publikacji
EN
Abstrakty
EN
This paper describes in detail the Complex Object Generation (COG) algorithm, which is a semi-automated algorithm for the generation of instances of classes (i.e., objects) with a complex inner structure for Java and similar languages designed for black-box testing (i.e., without available source code). The algorithm was developed and tested as a stand-alone algorithm and can be used as such (e.g., during unit testing). However, we plan to use it to generate the parameter values of generated method invocations, which is a vital part of our interface-based regression testing of software components.
Rocznik
Tom
Strony
501--510
Opis fizyczny
Bibliogr. 29 poz., il.
Twórcy
  • Department of Computer Science and Engineering/ NTIS – New Technologies for the Information Society, European Center of Excellence, Faculty of Applied Sciences, University of West Bohemia Univerzitni 8, 306 14 Plzen, Czech Republic
  • NTIS – New Technologies for the Information Society, European Center of Excellence/Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia Univerzitni 8, 306 14 Plzen, Czech Republic
Bibliografia
  • 1. C. Szyperski, D. Gruntz, and S. Murer, Component Software - Beyond Object-Oriented Programming, ACM Press, New York, 2000.
  • 2. T. Potuzak, R. Lipka, and P. Brada, “Interface-based Semi-automated Testing of Software Components,” in Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, Prague, September 2017, pp. 1335-1344, http://dx.doi.org/10.15439/-2017F139
  • 3. T. Potuzak and R. Lipka, “Algorithm for Generation of Complex Test Data for Interface-based Regression Testing of Software Compo-nents,” SAC '21: Proceedings of the 36th Annual ACM Symposium on Applied Computing, Virtual Event, Republic of Korea, March 2021, pp. 1305-1308, http://dx.doi.org/10.1145/3412841.3442118
  • 4. T. Potuzak and R. Lipka: “Deep Object Comparison for Interface-based Regression Testing of Software Components,” in Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, Poznan, September 2018, pp. 1053-1062, http://dx.doi.org/10.15439/2018F51
  • 5. J. T. Chan and W. Yang, “Advanced obfuscation techniques for Java bytecode,” Journal of Systems and Software, vol. 71, No. 1-2, 2004, pp. 1-10, http://dx.doi.org/10.1016/S0164-1212(02)00066-3
  • 6. The OSGi Alliance, OSGi Service Platform Core Specification, release 4, version 4.2, 2009.
  • 7. M. Bures and B. S. Ahmed, “On the effectiveness of combinatorial interaction testing: A case study,” in 2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), July 2017, pp. 69-76, http://dx.doi.org/10.1109/QRSC.-2017.20
  • 8. B. S. Ahmed, L. M. Gambardella, W. Afzal, and K. Z. Zamli, “Handling constraints in combinatorial interaction testing in the presence of multi objective particle swarm and multithreading,” Information and Software Technology, vol. 86, pp. 20-36, 2017, http://dx.doi.org/10.1016/j.infsof.2017.02.004
  • 9. D. Rubio, Pro Spring Dynamic Modules for OSGiTM Service Platform, Apress, USA, 2009.
  • 10. G. J. Myers, T. Badgett, and C. Sandler, The Art o Software Testing, Third Edition, John Wiley and Sons, Inc., Hoboken, 2012.
  • 11. P. G. Sapna and H. Mohanty, “Automated Scenario Generation based on UML Activity Diagrams,” International Conference on Information Technology, 2008, December 2008, pp. 209-214, http://dx.doi.org/10.1109/ICIT.2008.52
  • 12. S. J. Cunning and J. W. Rozenbiit, “Test Scenario Generation from a Structured Requirements Specification,” IEEE Conference and Workshop on Engineering of Computer-Based Systems, 1999, Proceedings, March 1999, pp. 166-172, http://dx.doi.org/10.1109/-ECBS.1999.755876
  • 13. K. Jezek, L. Holy, A. Slezacek, and P. Brada, “Software Components Compatibility Verification Based on Static Byte-Code Analysis,” 39th Euromicro Conference Series on Software Engineering and Advanced Applications, Santander, September 2013, pp. 145-152, http://dx.doi.org/10.1109/SEAA.2013.58
  • 14. Mockaroo. Accessed: 2018-35-05. [Online]. Available: https://www.mockaroo.com
  • 15. Dtm test xml generator. Accessed: 2018-05-05. [Online]. Available: http://www.sqledit.com/xmlgenerator
  • 16. Redgate. Accessed: 2018-03-05. [Online]. Available: http://www.red-gate.com/products/sql-development/sql-data-generator
  • 17. Podam - pojo data mocker. Accessed: 2018-03-05. [Online]. Available: https://github.com/mtedone/podam
  • 18. R. Lipka, “Automated Generator for Complex and Realistic Test Data,” in 2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), July 2017, pp. 628-629, http://dx.doi.org/10.1109/QRS-C.2017.122
  • 19. R. Lipka and T. Potuzak, “Automated generator for complex and realistic test data - a case study,” in Communication Papers of the 2018 Federated Conference on Computer Science and Information Systems, Poznan, September 2018, pp. 1053-1062, http://dx.doi.org/-10.15439/2018F214
  • 20. D. Marinov and R. O’Callahan, “Object Equality Profiling,” in Proceedings of the 18th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications, Anaheim, October 2003, pp. 313-325, http://dx.doi.org/10.1145/-949305.949333
  • 21. A. Infante and A. Bergel, “Object Equivalence: Revisiting Object Equality Profiling (An Experience Report),” in Proceedings of the 13th ACM SIGPLAN International Symposium on Dynamic Languages, Vancouver, October 2017, pp. 27-38, http://dx.doi.org/-10.1145/3170472.3133844
  • 22. G. M. Rama and R. Komondoor, “A Dynamic Analysis to Support Object-Sharing Code Refactorings,” in Proceedings of the 29th ACM/IEEE international conference on Automated software engineering, Vasteras, September 2014, pp. 713-723, http://dx.doi.org/10.1145/2642937.2642992
  • 23. M. J. Steindorfer and J. J. Vinju, “Performance Modeling of Maximal Sharing,” in Proceedings of the 7th ACM/SPEC on International Conference on Performance Engineering, Delft, March 2016, http://dx.doi.org/10.1145/2851553.2851566
  • 24. N. Grech, J. Rathke, and B. Fischer, “JEqualityGen: Generating Equality and Hashing Methods,” in Proceedings of the ninth international conference on Generative programming and component engineering, Eindhoven, October 2010, pp. 177-186, http://dx.doi.org/10.1145/1942788.1868320
  • 25. F. Naseer, S. U. Rehman, and K. Hussain, “Using Meta-data Technique for Component Based Black Box Testing,” in 2010 6th International Conference on Emerging Technologies, Islamabad, 2010, pp. 276-281, http://dx.doi.org/10.1109/ICET.2010.5638474
  • 26. Dynamic JavaFX form generation. Accessed 2019-05-02. [Online]. Available: https://github.com/dooApp/FXForm2
  • 27. I. R. Forman, N. Forman, Java Reflection in Action, Manning Publications, 2004.
  • 28. Java runtime metadata analysis. Accessed 2019-05-03. [Online]. Available: https://github.com/ronmamo/reflections
  • 29. Class Proxy. Accessed 2019-05-03. [Online]. Available: https://docs.oracle.com/javase/8/docs/api/java/lang/reflect/Proxy.html
Uwagi
1. Track 3: Software, System and Service Engineering
2. Session: Joint 41st IEEE Software Engineering Workshop and 8th International Workshop on Cyber-Physical Systems
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a73d92a9-d7b8-4840-b1d6-9347dd67bc27
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.