On reconciling patches and aspects
Bibliographic record
Abstract
In previous work, we presented a domain-specific enhancement to C, called C4, that lets developers manage program extensions leveraging techniques inspired by the AOSD model as an alternative to the conventional patch approach [3]. Our goal is to offer: (1) tool compatibility letting programmers develop, integrate, modify, and debug C4-based extensions that preserve their existing development workflow and leverages their existing tools rather than requiring additional tools; (2) code understandability of the C4 syntax such that is it straightforward for an uninitiated C programmer to use immediately; and, (3) runtime performance achieving near-zero overhead such that it can be used even in performance critical execution paths. As such C4 source code can be viewed as the result of weaving in AOSD style introductions and advices inline into C program. However, C4 lacked a proper representation of its unwoven form--i.e., what's conventionally in AOSD circles referred to as the pointcut language. This paper makes a case for B4: a patch-based pointcut representation of unwoven C4 and contrasts it with development-oriented pointcut languages belonging to the AspectC family that have been defined for the C programming language.
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.
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 | 0.000 | 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 | 0.000 |
| 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 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".