Generating Maude Specifications From UML Use Case Diagrams.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper presents a systematic approach supporting the translation of UML use case diagrams, describing the functional requirements of a system, into a Maude formal specification. The proposed approach also considers the static and dynamic features of object-oriented systems. The formal and object-oriented language Maude, based on rewriting logic, supports formal specification and programming of concurrent systems. The major motivations of this work are: (1) translating the functional requirements of an object-oriented system, specified using UML use case diagrams, into a Maude specification, (2) translating its static and dynamic aspects, described using UML class, communication and state-transitions diagrams respectively, into a Maude specification, and (3) integrating the formal verification of the consistency of the models, since the analysis phase. A case study is presented to illustrate our approach.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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