Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Experience Report on Developing a Crowdsourcing Test Platform for Mobile Applications

  • Conference paper
  • First Online:
Advances in Computational Collective Intelligence (ICCCI 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1287))

Included in the following conference series:

  • 1365 Accesses

Abstract

Crowdsourcing-based testing is a recent approach where testing is operated by volunteer users through the cloud. This approach is particularly suited for mobile applications since various users operating in various contexts can be involved. In the field of software engineering, crowd-testing has acquired a reputation for supporting the testing tasks, not only by professional testers, but also by end users. In this paper, we present TMACSTest (Testing of Mobile Applications using Crowdsourcing). This platform provides the important features for crowdsourcing testing of mobile apps by means of the following functionalities: It allows mobile app providers to register and upload mobile apps for testing, and it allows volunteering Internet users to register and test uploaded mobile apps. Expected behavior is that uploaded mobile apps are tested by many different Internet users in order to cover different runtime platforms and meaningful geographical locations.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Similar content being viewed by others

References

  1. Liang, C.-J.M., et al.: Caiipa: automated large-scale mobile app testing through contextual fuzzing. In: 20th International Conference on Mobile Computing and Networking, pp. 519–530 (2014)

    Google Scholar 

  2. Gao, J., Bai, X., Tsai, W.T.: Mobile application testing: a tutorial. Computer 47, 46–55 (2014)

    Article  Google Scholar 

  3. Mao, K., Capra, L., Harman, M., Jia, Y.: A survey of the use of crowdsourcing in software engineering. J. Syst. Softw. 126, 57–84 (2016)

    Article  Google Scholar 

  4. Chen, Z., Luo, B.: Quasi-crowdsourcing testing for educational projects. In: 36th International Conference on Software Engineering, pp. 272–275 (2014)

    Google Scholar 

  5. Liu, D., Bias, R.G., Lease, M., Kuipers, R.: Crowdsourcing for usability testing. Am. Soc. Inf. Sci. Technol. 49, 1–10 (2012)

    Google Scholar 

  6. LaToza, T.D., van der Hoek, A.: Crowdsourcing in software engineering: models, motivations, and challenges. IEEE Softw. 33, 74–80 (2016)

    Article  Google Scholar 

  7. Speidel, D., Sridharan, M.: A framework and research agenda for crowdsourced testing (2013)

    Google Scholar 

  8. uTest. https://www.utest.com

  9. TestCloud. https://www.xamarin.com/test-cloud

  10. Crowdsourced Testing. https://crowdsourcedtesting.com

  11. Guide to crowdsourced testing. https://www.softwaretestinghelp.com/guide-to-crowdsourced-testing

  12. Gao, J., Tsai, W.T., Paul, R., Bai, X.Y.: Mobile testing-as-a-service (mobile taas) - infrastructure, issues, solutions and needs. In: IEEE International Symposium of High Assurance Systems Engineering, pp. 158–167 (2014)

    Google Scholar 

  13. Tsai, W.T., et al.: A cloud-based Taas infrastructure with tools for SaaS validation, performance and scalability evaluation, pp. 464–471 (2012)

    Google Scholar 

  14. Blokland, K., Mengerink, J., Pol, M.: Testing cloud service (2013)

    Google Scholar 

  15. Vashistha, A., Ahmed, P.: SaaS multi-tenancy isolation testing-challenges and issues. Int. J. Soft Comput. Eng. (IJSCE), 2(5), 49–50 (2012). ISSN: 2231–2307

    Google Scholar 

  16. Naganathan, V., Sankarayya, S.: Overcoming challenges associated with SaaS testing. Infosys (2011)

    Google Scholar 

  17. Crowdsourced Usability Testing. http://alexcrockett.com/wp-content/uploads/downloads/Books/Crowdsourced_Usability_Testing.pdf

  18. Orso, A., Rothermel, G.: Software testing: a research travelogue (2014)

    Google Scholar 

  19. Xie, M., Wang, Q., Yang, G., Li, M.: COCOON: crowdsourced testing quality maximization under context coverage constraint. In: IEEE 28th International Symposium on Software Reliability Engineering (2017)

    Google Scholar 

  20. Khedam, R., Aktouf, O., Parissis, I., Boughazi, S.: Monitoring of RFID failures resulting from LLRP misconfigurations. In: SoftCOM, pp. 1–6 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. The University of Danang - Vietnam Korea, University of Information and Communication Technology (VKU), Da Nang, Viet Nam

    Nguyen Thanh Binh

  2. Grenoble Alpes Univ. Grenoble INP, LCIS, Valence, France

    Mariem Allagui, Oum-El-Kheir Aktouf & Ioannis Parissis

  3. The University of Danang, University of Science and Education, Da Nang, Viet Nam

    Le Thi Thanh Binh

Authors
  1. Nguyen Thanh Binh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mariem Allagui
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Oum-El-Kheir Aktouf
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ioannis Parissis
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Le Thi Thanh Binh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nguyen Thanh Binh .

Editor information

Editors and Affiliations

  1. Wroclaw University of Economics and Business, Wrocław, Poland

    Marcin Hernes

  2. Wrocław University of Science and Technology, Wrocław, Poland

    Krystian Wojtkiewicz

  3. University of Newcastle, Newcastle, Australia

    Edward Szczerbicki

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

Binh, N.T., Allagui, M., Aktouf, OEK., Parissis, I., Binh, L.T.T. (2020). Experience Report on Developing a Crowdsourcing Test Platform for Mobile Applications. In: Hernes, M., Wojtkiewicz, K., Szczerbicki, E. (eds) Advances in Computational Collective Intelligence. ICCCI 2020. Communications in Computer and Information Science, vol 1287. Springer, Cham. https://doi.org/10.1007/978-3-030-63119-2_53

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-63119-2_53

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63118-5

  • Online ISBN: 978-3-030-63119-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation