Experiência em Gerenciamento de Projetos de Desenvolvimento Distribuído de Software – DDS
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
O processo de desenvolvimento de software das empresas está cada vez mais distribuído, de diversas maneiras possíveis em diferentes localidades, em busca de menores riscos, maiores lucros, e vantagens competitivas, entre outros. Este trabalho relata experiência de Gerenciamento de Projeto de Desenvolvimento Distribuído de Software - DDS, com o estudo de caso de um projeto Y da empresa X, organização de tecnologia da informação, outsourcing, vencendo os desafios de comunicação, coordenação, colaboração da equipe, e outros fatores que são agravados em um ambiente de DDS, relatando os resultados obtidos as lições aprendidas.
 
 The process of software development companies are increasingly distributed in several possible ways in different locations in search of lower risk, higher profits, and competitive advantages, among others. This paper reports the experience of Project Managing Distributed Software Development - DDS, with the case study of a Y-design company X, organizing information technology, outsourcing, overcoming the challenges of communication, coordination, team collaboration, and other factors which are compounded in a DDS environment, reporting the results lessons learned.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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