Integrating requirements analysis and safety analysis
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
Summary form only given. In developing software for safety critical systems, it is necessary to carry out both requirements analysis and safety analysis. During requirements analysis, the behavioural and functional requirements of the system's software components are defined, documented, and reviewed. In addition, the requirements analyst is responsible for identifying and documenting the system safety requirements that pertain to the system's software. Safety analysis techniques are used to determine whether or not the safety requirements are satisfied. Traditionally, safety analysis has been performed on designs of the system's software, including a high level design, and not on the system's software requirements specification. However, if the requirements are described in terms of an operational model, a safety analysis of the requirements is possible. Are there any requirements techniques that help with the problems of developing safety critical software? Are there any requirements techniques that hinder development of such software? Is it effective to perform parts of a safety analysis on the requirements specification, as opposed to delaying analysis until design or implementation? If so, what parts of a safety analysis should be done on the requirements specification, and what parts should be done on the design description?.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| 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