Goal-Oriented Design of Business Models and Software Architectures
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
E-business initiatives succeed when the business model and the deployed software architecture contribute directly to the firm's business goals. The design of e-business initiatives should elicit and evaluate alternative business models and software architectures in order to find the combination which best achieves the business goals. The elicitation and evaluation of alternatives requires effective communication between stakeholders with different skill sets. In this paper, we introduce an end-to-end process which facilitates stakeholder communication throughout the development process. We leverage goal-modeling and scenario evaluation notations to compare alternative business models and software architectures and to select the alternatives which best satisfy the firm's business goals. We illustrate the process with a case study. The process assists cross-functional stakeholders in documenting decisions made throughout the initial design and subsequent evolution of an e-business initiative
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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