Towards Experience Management for Very Small Entities
Bibliographic record
Abstract
The ISO/IEC 29110 standard: Lifecycle profiles for Very Small Entities, provides several Process Reference Models applicable to the vast majority of very small entities (defined by the ISO as "an entity (enterprise, organization, department or project) having up to 25 people") which do not develop critical software and share typical situational factors. An ISO/IEC 29110 pilot project has been established between the Software Engineering group at Brest University and a 14-employee company with the aim of establishing an engineering discipline for a new Web-based project. As the project proceeded, it became apparent that setting up the ISO/IEC 29110 standard has to be performed in two steps: 1) provide self-training materials to the VSE employees on this new standard; and 2) support good practices with a simple Experience Management system which is compatible with the ISO/IEC 29110 standard. This paper reports the lessons learned about training from the pilot project, and addresses the research issues associated with the Experience Management system.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".