Skip to main content
SpringerLink
Log in

Software Application Test Case Generation with OBDM

  • Conference paper
  • First Online:
Advances in Decision Sciences, Image Processing, Security and Computer Vision (ICETE 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 3))

Included in the following conference series:

  • 780 Accesses

Abstract

Software Testing is the one of the indispensible bustle to guarantee software quality. Exhaustive software testing is not probable at any point of time but optimized testing is practicable. Test case generation is very imperative in attaining the optimized testing i.e. with minimal number of test cases uncovering maximum number of errors. Software experts are following deferent methods for engendering test records; now this tabloid researcher explained generation of the test records centered on OBJECT BEHAVIORAL DEPENDENCE MODEL (OBDM).

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
Hardcover Book
USD 219.99
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

References

  1. Darab MAD, Chang CK (2014) Black-box test data generation for GUI testing. In: Proceeding of IEEE international conference on quality software, pp 133–138

    Google Scholar 

  2. Arts T, Gerdes A, Kronqvist M (2013) Requirements on automatically generated random test cases. In: Proceedings of IEEE federated conference on computer science and information systems, pp 1347–1354

    Google Scholar 

  3. Tahbildar H, Kalita B (2011) Automated software test data generation: direction of research. Int J Comput Sci Eng Surv (IJCSES) 2(1):99–120

    Article  Google Scholar 

  4. Campos J, Abreu R, Fraser G, d’Amorim M (2013) Entropy-based test generation for improved fault localization. In: IEEE international conference on automated software engineering (ASE), pp 257–267

    Google Scholar 

  5. Ahmed BS, Sahib MA, Potrus MY (2014) Generating combinatorial test cases using Simplified Swarm Optimization (SSO) algorithm for automated GUI functional testing. Int J Eng Sci Technol 17:218–226

    Google Scholar 

  6. Han AR (2010) Measuring behavioral dependency for improving change proneness prediction in UML based model. J Syst Softw 83:222–234

    Article  Google Scholar 

  7. Arcuri A, Briand L (2012) Formal analysis of the probability of interaction fault detection using random testing. IEEE Trans Softw Eng 38(5):1088–1099

    Article  Google Scholar 

  8. McMinn P, Harman M, Lakhotia K, Hassoun Y, Wegener J (2012) Input domain reduction through irrelevant variable removal and its effect on local, global, and hybrid search-based structural test data generation. IEEE Trans Softw Eng 38(2):453–477

    Article  Google Scholar 

  9. Arcur A (2012) A theoretical and empirical analysis of the role of test sequence length in software testing for structural coverage. IEEE Trans Softw Eng 38(3):497–519

    Article  Google Scholar 

  10. Yu B, Pang Z (2012) Generating test data based on improved uniform design strategy. In: International conference on solid state devices and materials science, vol 25, pp 1245–1252

    Google Scholar 

  11. Pressman RS (2005) Software engineering; a practitioner approach, 6th edn. Mc Graw-Hill International Edition, Boston ISBN 0071240837

    Google Scholar 

  12. Sommerville I (1995) Software engineering. Addison-Wesley, Reading ISBN 0201427656

    Google Scholar 

  13. Beizer B (1990) Software testing techniques, vol 2. Van Nostrand Reinhold, New York ISBN-10: 0442206720

    Google Scholar 

  14. Rao KK, Raju G, Nagaraj S (2013) Optimizing the software testing efficiency by using a genetic algorithm; a design methodology. ACM SIGSOFT 38(3):1–15

    Google Scholar 

  15. Rao KK, Raju G (2015) Developing optimal directed random testing technique to reduce interactive faults-systematic literature and design methodology. Indian J Sci Technol 8(8):715–719 ISSN 0974-6846

    Article  Google Scholar 

  16. Rao KK, Raju G (2015) Theoretical investigations to random testing variants and its implications. Int J Softw Eng Appl 9(5):165–172

    Google Scholar 

  17. Kumar JR, Rao KK, Ganesh D (2015) Empirical investigations to find illegal and its equivalent test cases using RANDOM-DELPHI. Int J Softw Eng Appl 9(10):107–116

    Google Scholar 

  18. Rao KK, Raju G (2015) Random testing: the best coverage technique: an empirical proof. IJSEIA 9(12):115–122

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of CSE, PVPSIT, Vijayawada, Andhra Pradesh, India

    K. Koteswara Rao, A. Sudhir Babu, P. Anil Kumar & Ch. Chandra Mohan

Authors
  1. K. Koteswara Rao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Sudhir Babu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. P. Anil Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ch. Chandra Mohan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to K. Koteswara Rao .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, Telangana, India

    K. Srujan Raju

  3. Department of CSE, University College of Engineering, Osmania University, Hyderabad, Telangana, India

    K. Shyamala

  4. Department of ECE, University College of Engineering, Osmania University, Hyderabad, Telangana, India

    D. Rama Krishna

  5. Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Koteswara Rao, K., Sudhir Babu, A., Anil Kumar, P., Chandra Mohan, C. (2020). Software Application Test Case Generation with OBDM. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_84

Download citation

Publish with us

Policies and ethics

Search

Navigation