Desarrollo de la versión ágil de la herramienta 29110-In-a-box para implementar la norma ISO/IEC 29110
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
This professional project has as objective the elaboration of the newest version of the 29110-in-a-box tool, which will help Very Small Entities (VSE) to apply good agile practices in their software projects. The 29110-in-a-box tool is owned by the Canadian enterprise Nuum Solutions, which offers different services related to the software Atlassian, including technical support and plugins to the software JIRA.\nThe goals for this project are: to establish the new software architecture of the 29110-in-a-box tool, to deploy the solution in a VSE dedicated to software development, and to make a test pilot of the solution, in which a software project will be managed by using agile practices. These goals must be reached in one academic year, which means, the extension of the project will be of two academic semesters (2014-1 and 2014-2).\nThe deliverables of this project will include all the management documentation solicited by the Peruvian University of Applied Sciences (UPC), the results of the investigation, and the documentation of the implemented modules of the software solicited by Nuum Solutions.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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