(Neo4j)^ Browser: Visualizing Variable-Aware Analysis Results
Bibliographic record
Abstract
A software product line (SPL) implements a family of related software products. As such, analyzing a software produce line produces variable results that apply to some SPL variants and not to others. Typically, such results are annotated with presence conditions, which are logical expressions that represent the product variants to which the results apply. When analyzing large SPLs, these expressions that annotate results can become overwhelmingly large and difficult to reason about. In this paper, we present Neo4j Browser for visualizing and exploring the results of an SPL analysis. Neo4j Browser provides an interactive and customizable interface that allows the user to highlight results according to product variants of interest. Previous evaluations show that the Neo4j Browser improves the correctness and efficiency of the user's work and reduces the user's cognitive load in working with variable results. The tool can be downloaded at https://vault.cs.uwaterloo.ca/s/Rqy2f56PeC6s4XD, and a demo video presenting its features is at https://youtu.be/CoweflQQFWU.
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How this classification was reachedexpand
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 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".