A GUI environment to manipulate FSMs tor testing GUI-based applications in Java
Why this work is in the frame
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Bibliographic record
Abstract
The development of GUI-based applications has raised a lot of new issues, one of them being how to effectively test complicated graphical user interactions. We present a visual environment for manipulating test specifications of GUI-based applications in Java. In our approach, the internal representation of a test specification, which contains the contexts of GUI input and output, is generated interactively by running the application under test (AUT). In this way, existing testing tools, such as tools for test case generation, can possibly be applied on it. We provide a graphical interface to obtain such kind of internal test specifications so that testers do not need to know the details of the internal representation, and the test specification can be easily modified. We present our running prototype which lets users graphically manipulate the test specification given in the form of a finite state machine, and the implementation of AUT is a GUI-based Java application.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it