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Automation of GUI testing using a model-driven approach

Authors:

Juergen KazmeierAuthors Info & Claims

AST '06: Proceedings of the 2006 international workshop on Automation of software test

Pages 9 - 14

https://doi.org/10.1145/1138929.1138932

Published: 23 May 2006 Publication History

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Abstract

This paper describes an ongoing research on test case generation based on Unified Modeling Language (UML). The described approach builds on and combines existing techniques for data and graph coverage. It first uses the Category-Partition method to introduce data into the UML model. UML Use Cases and Activity diagrams are used to respectively describe which functionalities should be tested and how to test them. This combination has the potential to create a very large number of test cases. This approach offers two ways to manage the number of tests. First, custom annotations and guards use the Category-Partition data which allows the designer tight control over possible, or impossible, paths. Second, automation allows different configurations for both the data and the graph coverage. The process of modeling UML activity diagrams, annotating them with test data requirements, and generating test scripts from the models is described. The goal of this paper is to illustrate the benefits of our model-based approach for improving automation on software testing. The approach is demonstrated and evaluated based on use cases developed for testing a graphical user interface (GUI).

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Bolton MGray W(2023)Cognitive Modeling for Cognitive EngineeringThe Cambridge Handbook of Computational Cognitive Sciences10.1017/9781108755610.038(1088-1112)Online publication date: 21-Apr-2023
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(2023)Computational Modeling in Various Cognitive FieldsThe Cambridge Handbook of Computational Cognitive Sciences10.1017/9781108755610.027(767-1162)Online publication date: 21-Apr-2023
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Index Terms

Automation of GUI testing using a model-driven approach
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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Information & Contributors

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Published In

AST '06: Proceedings of the 2006 international workshop on Automation of software test

May 2006

128 pages

ISBN:1595934081

DOI:10.1145/1138929

Conference Chair:
Hong Zhu
Oxford Brookes University, UK
,
Program Chairs:
Joseph R. Horgan
Telcordia Technologies, USA
,
S. C. Cheung
The Hong Kong University of Science and Technology, Hong Kong
,
J. Jenny Li
Avaya Labs, USA

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 May 2006

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May 23, 2006

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Bolton MGray W(2023)Cognitive Modeling for Cognitive EngineeringThe Cambridge Handbook of Computational Cognitive Sciences10.1017/9781108755610.038(1088-1112)Online publication date: 21-Apr-2023
https://doi.org/10.1017/9781108755610.038
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Ramler RKlammer CWetzlmaier TVos TPrasetya WGetir S(2019)Lessons learned from making the transition to model-based GUI testingProceedings of the 10th ACM SIGSOFT International Workshop on Automating TEST Case Design, Selection, and Evaluation10.1145/3340433.3342823(22-27)Online publication date: 26-Aug-2019
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