L'amélioration des processus logiciels pour de petites entreprises : nos expériences avec les micro-évaluations
Bibliographic record
Abstract
Depuis plusieurs d'annees, l'industrie et la communaute scientifique ont etudie l'amelioration de processus logiciels dans les organisations. Cependant, cette recherche s'est appliquee principalement a de grandes entreprises. En 1998, l'universite de Namur a commence un projet de recherche sur l'amelioration des processus logiciels des petites entreprises (moins de 60 employes) principalement dans la Wallonie ou l'amelioration est evidente et ou l'experimentation par cette universite et le Centre d'Excellence en Technologies de l'Information et de la Communication (CETIC) est conduite. Leur travail a ete suivi de recherches a l'Ecole de Technologie Superieure (ETS) dans la province de Quebec. Les resultats de cette recherche et de l'utilisation de la premiere version de la methode developpee sont presentes dans cet article.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".