Reverse engineering legacy interfaces: an interaction-driven approach
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
Legacy systems constitute valuable assets to the organizations that own them. However, due to the development of newer and faster hardware platforms and the invention of novel interface styles, there is a great demand for their migration to new platforms. We present a method for reverse engineering the system interface that consists of two tasks. Based on traces of the users interaction with the system, the "interface mapping" task constructs a "map" of the system interface, in terms of the individual system screens and the transitions between them. The subsequent "task and domain modeling" task uses the interface map and task-specific traces to construct an abstract model of a user's task as an information exchange plan. The task model specifies the screen transition diagram that the user has to traverse in order to accomplish the task in question, and the flow of information that the user exchanges with the system at each screen. This task model is later used as the basis for specifying a new graphical user interface tailored to the task in question.
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 | 0.003 |
| 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 it