A Business Process Driven Approach for Generating Software Architecture
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Bibliographic record
Abstract
Business processes describe business operations of an organization and capture business requirements. Business applications provide automated support for an organization to achieve business objectives. Software architecture represents the gross structure of a business application and shows the distribution of business requirements among software components. However, mainstream design approaches rely on software architects' craftsmanship to derive software architectures from business requirements. Such a manual approach is inefficient and often leads to inconsistency between business requirements and business applications. To address this problem, we propose an approach to derive software architecture from business processes. We use clustering analysis to analyze dependencies among data and tasks captured in business processes and distribute functionalities to software components. A case study is conducted to generate software architecture from a collection of business processes specified in an industrial setting. The experiment results demonstrate that our proposed approach can generate meaningful software architecture with high modularity.
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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 | 0.002 |
| 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