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A model-based approach to test automation for context-aware mobile applications

Authors:

Volker GruhnAuthors Info & Claims

SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing

Pages 420 - 427

https://doi.org/10.1145/2554850.2554942

Published: 24 March 2014 Publication History

Abstract

Current testing tools for mobile applications do not provide sufficient support for context-aware application testing. In addition to regular input vectors (e.g. touch events, text entry) context parameters must be considered (e.g. accelerometer data interpreted as shake gestures, GPS location data, etc.). A multitude of possible application faults resulting from these additional context parameters requires an appropriately selected set of test cases. In this paper, we propose a model-based approach to improve the testing of context-aware mobile applications by deducing test cases from design-time system models. Using a custom-built version of the calabash-android testing framework enhanced by an arbitrary context parameter facility, our approach to test case generation and automated execution is validated on a context-aware mobile application.

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Cited By

Qian XWang TXu XJonker TTodi K(2024)Fast-Forward Reality: Authoring Error-Free Context-Aware Policies with Real-Time Unit Tests in Extended RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642158(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642158
Priya SRajalakshmi B(2022)Testing Context Aware Application and its Research Challenges2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)10.1109/ICSTSN53084.2022.9761331(1-7)Online publication date: 25-Mar-2022
https://doi.org/10.1109/ICSTSN53084.2022.9761331
Nguyen TLe TAktouf OParissis I(2022)Mobile Applications Testing Based on Bigraphs and Dynamic Feature Petri NetsIntelligence of Things: Technologies and Applications10.1007/978-3-031-15063-0_20(215-225)Online publication date: 23-Aug-2022
https://doi.org/10.1007/978-3-031-15063-0_20
Show More Cited By

Index Terms

A model-based approach to test automation for context-aware mobile applications
1. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Software defect analysis
        Software testing and debugging

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Published In

cover image ACM Conferences

SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing

March 2014

1890 pages

ISBN:9781450324694

DOI:10.1145/2554850

Conference Chairs:
Yookun Cho
Seoul National University, Korea
,
Sung Y. Shin
South Dakota State University
,
Program Chairs:
Sangwook Kim
Kyungpook National University, Korea
,
Chih-Cheng Hung
Southern Polytechnic State University
,
Jiman Hong
Soongsil University, South Korea

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

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Published: 24 March 2014

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SAC 2014

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SAC 2014: Symposium on Applied Computing

March 24 - 28, 2014

Gyeongju, Republic of Korea

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SAC '14 Paper Acceptance Rate 218 of 939 submissions, 23%;

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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The 40th ACM/SIGAPP Symposium on Applied Computing

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Cited By

Qian XWang TXu XJonker TTodi K(2024)Fast-Forward Reality: Authoring Error-Free Context-Aware Policies with Real-Time Unit Tests in Extended RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642158(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642158
Priya SRajalakshmi B(2022)Testing Context Aware Application and its Research Challenges2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)10.1109/ICSTSN53084.2022.9761331(1-7)Online publication date: 25-Mar-2022
https://doi.org/10.1109/ICSTSN53084.2022.9761331
Nguyen TLe TAktouf OParissis I(2022)Mobile Applications Testing Based on Bigraphs and Dynamic Feature Petri NetsIntelligence of Things: Technologies and Applications10.1007/978-3-031-15063-0_20(215-225)Online publication date: 23-Aug-2022
https://doi.org/10.1007/978-3-031-15063-0_20
Mirza AKhan MWagan RLaghari MAshraf MAkram MBilal M(2021)ContextDrive: Towards a Functional Scenario-Based Testing Framework for Context-Aware ApplicationsIEEE Access10.1109/ACCESS.2021.30848879(80478-80490)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3084887
Siqueira BFerrari FSouza KCamargo Vde Lemos R(2021)Testing of adaptive and context‐aware systems: approaches and challengesSoftware Testing, Verification and Reliability10.1002/stvr.177231:7Online publication date: 3-May-2021
https://doi.org/10.1002/stvr.1772
de Almeida DMachado PAndrade WCavalcante EDantas FBatista T(2020)Context-Aware Android Applications TestingProceedings of the XXXIV Brazilian Symposium on Software Engineering10.1145/3422392.3422405(283-292)Online publication date: 21-Oct-2020
https://dl.acm.org/doi/10.1145/3422392.3422405
Luo CGoncalves JVelloso EKostakos V(2020)A Survey of Context Simulation for Testing Mobile Context-Aware ApplicationsACM Computing Surveys10.1145/337278853:1(1-39)Online publication date: 6-Feb-2020
https://dl.acm.org/doi/10.1145/3372788
Shafiei ZRafsanjani A(2020)A Test Case Design Method for Context Aware Android Applications2020 25th International Computer Conference, Computer Society of Iran (CSICC)10.1109/CSICC49403.2020.9050065(1-8)Online publication date: Jan-2020
https://doi.org/10.1109/CSICC49403.2020.9050065
Almeida DMachado PAndrade W(2019)Testing tools for Android context-aware applications: a systematic mappingJournal of the Brazilian Computer Society10.1186/s13173-019-0093-725:1Online publication date: 1-Dec-2019
https://doi.org/10.1186/s13173-019-0093-7
Kong PLi LGao JLiu KBissyande TKlein J(2019)Automated Testing of Android Apps: A Systematic Literature ReviewIEEE Transactions on Reliability10.1109/TR.2018.286573368:1(45-66)Online publication date: Mar-2019
https://doi.org/10.1109/TR.2018.2865733
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