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GUI test automation for Qt application

GUI test automation is a popular and interesting subject in the testing industry. Many companies plan to start test automation projects in order to implement efficient, less expensive software testing. However, there are challenges for the testing team who lack experience performing GUI tests automation. Many GUI test automation projects have ended in failure due to mistakes made during the early stages of the project. The major work of this thesis is to find a solution to the challenges of establishing new test automation projects and determine an appropriate method to build GUI tests automation. Due to the particularity of GUI tests automation, keyword driven test approach is introduced in this thesis. The advantages and disadvantages are shown by undertaking comparison with the Record and replay testing method and the data driven testing method. The research also includes a feasibility study of GUI tests automation. The analysis report points out which kinds of test projects should be automated and which kinds should not be automated. Test automation tool selection is a critical step for an test automation project. This thesis shows the correct procedure for selecting a testing tool and explains the strategies of testing tool selection. It also summaries the mistakes made during the tool selection process. Several classical types of testing tools which support Qt software testing are compared and evaluated. Based on the in-depth analysis and comparison of testing tools, the thesis explains how the different tools fit with the different test projects. The implementation procedure of a test automation is demonstrated in this thesis. The procedure includes test case design and testing framework implementation. The test script is created based on the structure of a keyword driven test framework. The thesis also discusses several interesting topics related to GUI tests automation for future research.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-121719
Date January 2015
CreatorsWang, Lei
PublisherLinköpings universitet, Institutionen för datavetenskap, Linköpings universitet, Tekniska fakulteten
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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