Symbolic execution of UML-RT State Machines
Why this work is in the frame
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Bibliographic record
Abstract
UML-RT is one of the languages used in the industrial practice of the model-driven development (MDD). The language is a proper profile of UML 2 and it uses UML-RT State Machines to model behavior of systems. This paper presents a technique for a symbolic execution of these machines, which introduces modular treatment of action code. This feature clearly separates the symbolic execution of the state machine itself from the symbolic execution of its action code and thus facilitates support of different action languages. The separation is achieved via a formalization of UML-RT State Machines in which functions are used to represent the result of the symbolic execution of the action code. Key parts of the technique are formalized and its implementation is presented. An example is used to illustrate different analyses including reachability, invariant checking, output analysis and test case generation.
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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 | 0.000 | 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