skip to main content
10.1145/3555776.3577806acmconferencesArticle/Chapter ViewAbstractPublication PagessacConference Proceedingsconference-collections
poster

Agile GUI Testing by computing novel Mobile App Coverage Using Appium Tool

Published:07 June 2023Publication History

ABSTRACT

The agile model is essential and preferable for the current software development process. Its task is to produce good software faster. With an emerging set of mobile technologies, almost 5 million phones are sold every day in the world. With this much competition, every device tries to add new features and come up with new standards to dominate the market. On the other hand, mobile app developers launch new and powerful apps for all the problems of the users. But an app needs to be well tested before coming into the hands of a user. Mobile app testing is the biggest challenge. Because an app untested can attract risks of failure after launching into the real world. In this paper, we introduce two new Mobile App Coverage criteria to make GUI Testing faster, so that continuous integration (CI) (which is an important agile method) can be performed. This way we are towards achieving the principles of agile testing. Testing nowadays has become a difficult task for testers to try out all possible combinations or paths that a user can take. This is impossible to cover all such paths. Testing of the mobile app can be done using any tool, but the most popular one is Appium. It is purely a black box tester that works by scripting test files. It doesn't provide any coverage scores. This research paper focused towards introducing the new app coverage to an extent to be reasonable to calculate through the Appium tool.

References

  1. Swadhin Kumar Barisal, Shorya Pratap Singh Chauhan, Arpita Dutta, Sangharatna Godboley, Bibhudatta Sahoo, and Durga Prasad Mohapatra. 2022. BOOMPizer: Minimization and prioritization of CONCOLIC based boosted MC/DC test cases. Journal of King Saud University-Computer and Information Sciences (2022).Google ScholarGoogle Scholar
  2. Swadhin Kumar Barisal, Arpita Dutta, Sangharatna Godboley, Bibhudatta Sahoo, and Durga Prasad Mohapatra. 2022. Agility Based Coverage Improvement. In LASD. Springer, 170--186.Google ScholarGoogle Scholar
  3. Lisa Crispin and Janet Gregory. 2009. Agile Testing: A Practical Guide for Testers and Agile Teams (1 ed.). Addison-Wesley Professional.Google ScholarGoogle Scholar
  4. Luis Cruz, Rui Abreu, and David Lo. 2019. To the attention of mobile software developers: guess what, test your app! ESE 24, 4 (2019), 2438--2468.Google ScholarGoogle Scholar
  5. Arpita Dutta and Sangharatna Godboley. 2021. MSFL: A Model for Fault Localization Using Mutation-Spectra Technique. In International Conference on Lean and Agile Software Development. Springer, 156--173.Google ScholarGoogle Scholar
  6. "Getting Started Appium" 2022. appium.io/docs/en/about-appium/getting-started/?lang=en.Google ScholarGoogle Scholar
  7. Sangharatna Godboley, Arpita Dutta, Radha Krishna Pisipati, and Durga Prasad Mohapatra. 2022. SSG-AFL: Vulnerability detection for Reactive Systems using Static Seed Generator based AFL. In 2022 IEEE 46th COMPSAC. IEEE, 1728--1733.Google ScholarGoogle Scholar
  8. Sangharatna Godboley, Joxan Jaffar, Rasool Maghareh, and Arpita Dutta. 2021. Toward optimal mc/dc test case generation. In 30th ACM SIGSOFT International Symposium on Software Testing and Analysis. 505--516.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Klaus Haller. 2013. Mobile testing. ACM SIGSOFT Software Engineering Notes 38, 6 (2013), 1--8.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Instabug, Nezar Mansour Content Creator, et al. "How to Improve Test Coverage for Your Mobile App." Instabug Blog, 2021. instabug.com/blog/how-to-improve-test-coverage-for-mobile-app/Google ScholarGoogle Scholar
  11. Kwok, Ellinor. "Whitebox; Blackbox Automation Testing on Android Using Genymotion Cloud on AWS (Espresso; Appium)." Medium, Genymobile, 2021. medium.com/genymobile/whitebox-blackbox-automation-testing-on-android-using-genymotion-\cloud-on-aws-espresso-appium-ee5db2f2085dGoogle ScholarGoogle Scholar
  12. Tomi Lämsä. 2017. Comparison of GUI testing tools for Android applications. University of Oulu (2017).Google ScholarGoogle Scholar
  13. "Mobile App." Wikipedia, Wikimedia Foundation 2022. en.wikipedia.org/wiki/Mobile_appGoogle ScholarGoogle Scholar
  14. I Sethi, Vaibhav Agarwal, and Shivakant Shukla. 2018. Mobile App Testing: Challenges, Strategy and Approaches. International Journal of Computer Applications 179, 43 (2018), 16--22.Google ScholarGoogle ScholarCross RefCross Ref
  15. Sivaguru, Dinesh Guptha, et al. "Appium Tutorial for Testing Android and IOS Mobile Apps." Software Testing Help 2022. www.softwaretestinghelp.com/ appium-tutorial-for-beginners/.Google ScholarGoogle Scholar
  16. Sulthan, et al. "Uiautomation with Code Coverage." Stack Overflow, 1960. stackoverflow.com/questions/13453715/uiautomation-with-code-coverageGoogle ScholarGoogle Scholar
  17. "Testing Techniques : Types, Advantages and Disadvantages." ElProCus, 2020. www.elprocus.com/what-are-testing-techniques-types-advantages-disadvantages/Google ScholarGoogle Scholar

Index Terms

  1. Agile GUI Testing by computing novel Mobile App Coverage Using Appium Tool

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
      March 2023
      1932 pages
      ISBN:9781450395175
      DOI:10.1145/3555776

      Copyright © 2023 Owner/Author(s)

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 7 June 2023

      Check for updates

      Qualifiers

      • poster

      Acceptance Rates

      Overall Acceptance Rate1,650of6,669submissions,25%
    • Article Metrics

      • Downloads (Last 12 months)58
      • Downloads (Last 6 weeks)8

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader