Implementing ISO/IEC 29110 to reinforce four very small entities of Mexico under an agile approach
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
Very small entities (VSEs) of software development have had a significant demand and economic impact in recent years, because most of them are the software producers for medium and big companies in order to satisfy the growing demand of software. In this context, it is important to ensure that they produce quality software to successfully meet the market needs. This task relies on having the knowledge and the experience to implement proven practices, which are contained in quality models and standards, to be able to develop quality software, while increasing their productivity and keeping or reducing their costs. A description of the implementation of ISO/IEC 29110 in Mexico, specifically at Zacatecas State is presented. This implementation was done as a strategy to increase the competitiveness of them. The study includes both, the strategy established to deploy the knowledge and the method followed to implement the ISO/IEC 29110 in four VSEs that uses scrum methodology as agile approach. The results show that the implementation of ISO/IEC 29110 was easy and with a high acceptance due to the benefits detected in the reinforcement of the VSEs’ processes without changing the way they work and solving their problems.
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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 | 0.001 |
| Open science | 0.001 | 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