NDR-Tool: Uma Ferramenta de Apoio ao Reuso de Conhecimento em Requisitos Não Funcionais.
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
Non-functional requirements (NFR) are fundamental for the software development. The NFRFramework allows the elicitation to deeply cover necessary trade-offs involving synergetic and conflicting solutions. It also favor the capture of design decisions involving the reasons that lead one to choose between one alternative and another to implement a NFR. This work proposes and describes the NDR-Tool, a tool that supports the software engineer in the requirements elicitation and modelling process. This tool proposes the use of ontologies and web semantics techniques to facilitate storing and retrieving knowledge related to possible alternatives to implement NFR. The tool NDRTool was developed and integrated with a tool for modeling NFR diagrams. As proof of concept we used the tool in the medical field.
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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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