An Analysis of Library Usage in the C++ Code Base of Fedora Linux 37
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
Several aspects of library usage in C++ are explored. A framework is proposed for analyzing the C++ code base of Linux distributions that employ the DNF package manager, such as Fedora Linux and Red Hat Enterprise Linux. This framework is used in conjunction with a C++ source-code analysis tool (developed by the authors) to study library usage with a fine level of granularity, considering instances of uses of types, type aliases, member/nonmember functions, variables, and enumerators. The effectiveness of our proposed framework and C++ analysis tool is demonstrated by applying them to the C++ code base of Fedora Linux 37. Using this approach, we were able to analyze library usage in the C++ source code of over 2300 software packages. Numerous observations are made about various aspects of library usage that can facilitate improved teaching of C++, allow more effective design/implementation of C++ libraries, and help to direct the future evolution of the C++ standard.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| 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) | 0.001 | 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