A Petri-Net Based Approach of Software Visualization for Software Customization
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
Different from the traditional approach of software development from scratch, Software Product Line (SPL) allows software customization. When further supported by Service-Oriented Architecture (SOA), SPL offers unprecedented advantages for reusing software artifacts in mass customization of software applications, leading to radically reduced time, cost, and effort of software development. Accordingly, an interactive dialogue-based system for ontology-based requirement elicitation has been developed previously, in our research group, by Zhang. This thesis works on enhancement of the prior work by introducing software visualization to the process of interactive requirement elicitation. A research was conducted for choosing the most suitable visualization method for the existing text-based software. For this purpose, a layered structure for SOA visualization with support of Petri Nets is chosen. Accordingly, this method was implemented and a usability study was done to validate improvements in comprehension of the end-user in visualized version comparing to the previous version of requirement elicitation system.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 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