PAWA: a program analysis tool for Web based intranet applications
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
Web based intranet applications are increasingly becoming popular in organizations for in-house functions. These applications are different from Web sites as they offer substantially greater opportunities for users in terms of modifying the site status and they are different from traditional software applications due to their WWW platform. Unlike traditional Web applications they are smaller in size and closer to traditional software than Web sites. Usually such applications are developed in a short time and no documentation is available. Due to emerging technologies and organizational needs these applications need to be modified, tested and enhanced frequently. Existing tools are not helpful in analyzing the programs of such applications. The paper presents a tool for program analysis of Web based intranet applications. The information recovered by the tool helps in comprehending such applications and facilitates their maintenance, testing and evolution. A case study is carried out with the aim of assessing the effectiveness of the tool.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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