ContextDrive: Towards a Functional Scenario-Based Testing Framework for Context-Aware Applications
| Autor: | Muhammad Akram, Raja Asif Wagan, Muhammad Ashraf, A. M. Mirza, Muhammad Bux Laghari, Muhammad Bilal, Muhammad Naeem Ahmed Khan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
General Computer Science
Computer science Functional testing Code coverage Context (language use) end-to-end testing 02 engineering and technology Test engineer 020204 information systems context awareness 0202 electrical engineering electronic engineering information engineering General Materials Science General Engineering model based testing people.profession 020207 software engineering scenario-based testing software quality Automatic testing Test (assessment) Reliability engineering TK1-9971 Test case Task analysis Electrical engineering. Electronics. Nuclear engineering Scenario testing people |
| Zdroj: | IEEE Access, Vol 9, Pp 80478-80490 (2021) |
| ISSN: | 2169-3536 |
| Popis: | Context-aware applications are emerging applications in the modern era of computing. These applications can determine and adapt to situational context to provide better user experience. Testing these applications is not straightforward. Constantly changing nature of context makes testing context-aware application is a challenging task. To uncover a defect in context-aware application, a test engineer needs activity (sequence of actions) and context information (context data); this makes test case development a difficult task. Conventional test case development methodologies do not cater for context information. Besides, conventional applications have only one input source, but context-aware application must obtain data from many sources to infer the context. Yet another issue that these applications often face is the noisy data problem as input data collected from physical sensors could be noisy. Test adequacy criteria are used as test stoppage rule and define the quality of testing as well as for generating test suites. Test adequacy criteria is helpful to control the cost of testing as well as determining/establishing confidence in the software product quality. A number of test adequacy criteria exist for testing conventional applications, but the same is not true for context-aware applications. Defining test adequacy criteria and test coverage measures for context-aware applications warrants further research. Several techniques have been developed by researchers to generate and execute test cases for context-aware applications; however, end-to-end testing and result analysis of executed test cases still remains a grueling task for the test engineers. The aim of this study is to automate end-to-end functional testing, analysis of the generated test results as well as functional/requirement coverage assessment. Moreover, we also present a confidence assessment template for result analysis. Test engineers can use our proposed framework to assess the requirement coverage. Our proposed framework will reduce testing time, efforts and cost thus enabling test engineers to execute more testing cycles to attain higher degree of test coverage. |
| Databáze: | OpenAIRE |
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