Transforming context-aware application development model into a testing model

Mehmood, Mirza Aamir; Khan, Muhammad Naeem; Afzal, Wasif

doi:10.1109/icsess.2017.8342891

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…There are several test automation techniques like MBT [7], Record and Replay [8], GUI-based App Testing [3], Robotic Testing [9], Model Checking [10], Targeted Testing and Conformance Testing [11], etc. Automation can be achieved at different stages of testing like test case generation, test data generation [12], test case execution, model generation [13] from requirement specifications, and code generation from the model. For MBT, unified modeling language (UML) diagrams are used to illustrate the functionality of SUT.…”

Section: Introductionmentioning

confidence: 99%

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Automating Test Case Generation for Android Applications using Model-based Testing

Khan¹,

Khan²,

Mirza

et al. 2022

EMITTER Int'l J. of Engin. Technol.

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Testing of mobile applications (apps) has its quirks as numerous events are required to be tested. Mobile apps testing, being an evolving domain, carries certain challenges that should be accounted for in the overall testing process. Since smartphone apps are moderate in size so we consider that model-based testing (MBT) using state machines and statecharts could be a promising option for ensuring maximum coverage and completeness of test cases. Using model-based testing approach, we can automate the tedious phase of test case generation, which not only saves time of the overall testing process but also minimizes defects and ensures maximum test case coverage and completeness. In this paper, we explore and model the most critical modules of the mobile app for generating test cases to ascertain the efficiency and impact of using model-based testing. Test cases for the targeted model of the application under test were generated on a real device. The experimental results indicate that our framework reduced the time required to execute all the generated test cases by 50%. Experimental setup and results are reported herein.

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Section: Introductionmentioning

confidence: 99%

“…For model creation, we use state machine diagrams or statecharts to model application behavior, functionality, and user interaction. State machine and activity diagrams are widely used modeling paradigms [13]. We use state machine or statechart diagrams for AUT modeling as it is a matured paradigm in the UML domain.…”

Section: Introductionmentioning

confidence: 99%

Automating Test Case Generation for Android Applications using Model-based Testing

Khan¹,

Khan²,

Mirza

et al. 2022

EMITTER Int'l J. of Engin. Technol.

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“…Their approach comprises a four-tier process that uses (i) context information; (ii) petri net representation; (iii) technology-independent testing model; and (iv) technology-specific test case generation. Mehmood et al[129] proposed a model-based testing approach to model transformations that uses activity diagrams and Petri nets. In general, they use an extended UML activity diagram by taking into account different alternatives when an activity node A is transiting to an activity node B.…”

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confidence: 99%

Testing of adaptive and context‐aware systems: approaches and challenges

Siqueira

Ferrari

Souza

et al. 2021

Software Testing Verif & Rel

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Adaptive systems (ASs) and context-aware systems (CASs) are able to evaluate their own behaviour and to adapt it when the system fails to accomplish its goals or when better functionality or performance is possible. Ensuring the reliability of ASs and CASs is demanding because failures might have undesirable consequences. Testing ASs and CASs effectively is not trivial because of the inherent characteristics of these systems. The literature lacks a comprehensive review that provides a broad picture of the area; current reviews are outdated and incomplete. The objectives of this study are characterizing the state of the art in AS and CAS testing and discussing approaches, challenges, observed trends, and research limitations and directions. We performed a systematic literature review (SLR) and a thematic analysis of studies, reporting up-to-date, refined and extended results when compared with existing reviews. Based on 102 selected studies, we (i) characterized testing approaches by grouping techniques for ASs and CASs; (ii) updated and refined a characterization of testing challenges for ASs and CASs; and (iii) analysed and discussed research trends and implications for AS and CAS testing. There are recurring research concerns regarding AS and CAS testing. Examples are the generation of test cases and built-in tests. Moreover, we also identified recurring testing challenges such as context monitoring and runtime decisions. Moreover, there are some trends such as model-based testing and hybrid techniques and some little investigated issues like uncertainty and prediction of changes. All in all, our results may provide guidance for developers and researchers with respect to the practice and the future research on AS and CAS testing.

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“…Thus, integrating GAI into UV swarm fault management strategies offers an advanced method to enhance safety. For example, by analyzing real-time sensor data and understanding the intricacies of swarm dynamics, Transformers are able to make context-aware decisions to identify the safest termination points for compromised UVs accurately [187]. Incorporating such GAI may not only improve the management of critical failures, but also lower the risk of secondary incidents.…”

Section: Othersmentioning

confidence: 99%

A Study Of Civil Engineering Education At Singapore Nanyang Technology University And At The University Of Florida

Liu¹,

Najafi²

2002 Annual Conference Proceedings

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offer civil engineering courses to undergraduate and graduate students. This paper discusses and compares Civil Engineering curriculum in both Universities. The Civil Engineering courses at the University of Florida are divided into two phases of general education and upper division/civil engineering core education. At Nanyang Technology University, the Civil Engineering offers courses of a prescribed core of essential subjects and both institutions offer excellent program of study. The Civil Engineering program at Nanyang Technology University offers courses closely related to industry and government needs. Similarly, at the University of Florida, Civil Engineering program also offers excellent education program in line with government and industries needs. At both institutions, efforts should be focused on revising curriculum that is more responsible to existing and future rapid technological changes.

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Transforming context-aware application development model into a testing model

Cited by 5 publications

References 7 publications

Automating Test Case Generation for Android Applications using Model-based Testing

Automating Test Case Generation for Android Applications using Model-based Testing

Testing of adaptive and context‐aware systems: approaches and challenges

A Study Of Civil Engineering Education At Singapore Nanyang Technology University And At The University Of Florida

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