Alborz: An Interactive Toolkit to Extract Static and Dynamic Views of a Software System
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
Alborz is a multi-view, interactive, and wizard-based software architecture reconstruction and evaluation toolkit that takes advantage of the Eclipse plug-in technology to provide feature extensibility, and uses GXL format to interoperate with other reverse engineering tools. The current version of Alborz toolkit supports static and dynamic views of a software system. For the static view, the toolkit extracts the structure of a software system using wizard-guided forms that allow to define the high-level view of the system. The static view represents abstract components and connectors which are then mapped onto the low-level source graph to find approximate matching within the software system. For the dynamic view, the toolkit extracts high-frequent execution patterns by running feature specific task scenarios on the software system. Subsequently, the implementations of the software features in the source code are identified as a means to evaluate the structure of software. The toolkit will be available as an Eclipse plug-in to serve the software reverse engineering community.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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