Modelling and Testing Requirements via Executable Abstract State Machines
Why this work is in the frame
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Bibliographic record
Abstract
We describe a method and tools for deriving specification models from requirements, and for validating that the final software product satisfies the requirements. ETF (Eiffel Testing Framework) is a tool for generating code from an abstract grammar specification of user interface actions derived from the requirements document. Mathmodels extends the classical Eiffel contracting notation with the use of mathematical models (based on sets, sequences, relations, functions, bags). The Mathmodels library has immutable queries (for specifications) as well as relatively efficient mutable commands (for describing executable abstract state machines). Models are developed and validated using the industrial strength Eiffel IDE, and the use of these tools thus scale up to the development of large systems in a way that supports the derivation of specification models from requirements, and seamlessness between models and code.
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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