In this paper we present an iterative approach that infers state-machine models from previous test executions, and increases the utility of tests by learning ...
Aug 6, 2020 · In this paper we present an iterative approach that infers state-machine models from previous test executions, and increases the utility of ...
In this paper we present an iterative approach that infers state-machine models from previous test executions, and increases the utility of tests by learning ...
One logical place to do this testing is at the GUI level. However, to do so requires a GUI testing tool. This paper will discuss the lessons we learned ...
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May 26, 2021 · GUI test automation is expensive to write and maintain. It's slow to run, rarely covers more than the happy path, and in my experience does not ...
Missing: Infeasible | Show results with:Infeasible
We use two different machine learning techniques (support vector machines and grammar induction) to identify infeasible test cases (i.e., test requirements that ...
It is often necessary to construct GUI models for automated testing of event-driven GUI applications, so test cases can be generated by traversing the GUI ...
This work predicts which test cases are infeasible using two supervised machine learning methods: support vector machines (SVMs) and grammar induction and ...
Automated Regression Testing: Redefining Software Quality ...
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Jun 18, 2024 · Learn how automated regression testing transforms software quality assurance. Boost reliability, streamline updates & achieve flawless software releases.
We experiment with three feature extraction techniques and demonstrate the success of the machine learning algorithms for classifying infeasible GUI test cases ...