Analysis of the Evolution of Eight VSEs Using the ISO/IEC 29110 to Reinforce Their Agile Approaches
Why this work is in the frame
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Bibliographic record
Abstract
Most very small entities (VSEs) develop software for medium and large companies and organizations. This situation creates an opportunity for them to become key players in the production chain by providing quality software within schedule and budget. A feature of most VSEs is that they do not have experience in the implementation of engineering standards due to specific features such as lack of support, lack of resources, time-consuming, and the use of agile approaches. This chapter presents an analysis of a set of eight VSEs that used agile approaches to develop software and that have implemented the software Basic profile of the ISO/IEC 29110 to reinforce their agile approach. The results show that ISO/IEC 29110 were easily implemented and helped VSEs to improve their agile approaches while helping them to understand the importance of formalizing some key artifacts produced during the development of a software product.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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