Towards a Pattern-Based Framework for Goal-Driven Business Process Modeling
Why this work is in the frame
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Bibliographic record
Abstract
In organizations, a gap commonly exists between business goals and business processes. While several approaches provide modeling solutions in each of these two areas, their relationships are often not defined well enough to be used in the software development process. This paper aims to better fill this gap through the introduction of a pattern-based framework that helps construct business processes from organization goals while maintaining traceability relationships between the two. How to extract patterns, which are composed of goal templates, process templates, and their relationships, is briefly presented. The framework, which includes a collection of patterns for a particular domain, is formalized as a profile of the User Requirements Notation, a standard modeling language that supports goals, scenarios, and links between them. A method for the use of such framework is defined and then illustrated through a case study involving an adverse event management system that targets the improvement of patient safety in healthcare organizations.
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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 | 0.001 | 0.001 |
| 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