Investigating Vincenti Engineering Principles in Support to the Auditing of Measurement Processes in Agile Organizations
Bibliographic record
Abstract
ISO 9001 impacts the entire range of software life cycle activities, including software planning, software requirements gathering and analysis, software construction, the software life cycle traceability process, and the measurement process To address all these activities, software organizations that need to become ISO 9001 certified find themselves in a position where they need to develop a myriad of tools and techniques to demonstrate that their software processes are in conformity with this ISO quality standard. A common methodology is to have in place a certification team (i.e. software analysts) responsible for understanding which ISO 9001 clauses impact the organization's business processes, including software process activities. This team must also assess the development team process to demonstrate that the software products are being developed according to ISO 9001 requirements: in essence, this means providing documented evidence that clarifies how and when a particular design decision has been implemented. The collection of evidences constitutes a very important foundation on which the auditors base their audit results and conclusion.
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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 | 0.063 | 0.147 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".