Principles for Systematic Development of an Assurance Case Template from ISO 26262
Bibliographic record
Abstract
A failure in a critical system can cause death, injury, financial loss, and environmental damage. To develop safe and trustworthy systems, we need to plan the development and assessment of system functionality in advance. Assurance Cases are a generalization of Safety Cases, and are gaining momentum as a preferred way of demonstrating assurance of critical properties in complex software-intensive systems. To cope with the lack of standardized assurance structures, and to encourage safety assessment prior to development, we previously proposed the use of an assurance case template. The principles presented here can be used to build an assurance case template that complies with the functional safety standard, ISO 26262 in a cost-effective way. In the future, such principles may lead to semi-automated development of these templates.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.121 | 0.183 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.015 | 0.007 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.007 | 0.008 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.008 | 0.009 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".