Leveraging Informal Documentation to Summarize Classes and Methods in Context
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
Critical information related to a software developer'scurrent task is trapped in technical developer discussions,bug reports, code reviews, and other software artefacts. Muchof this information pertains to the proper use of code elements(e.g., methods and classes) that capture vital problem domainknowledge. To understand the purpose of these code elements,software developers must either access documentation and onlineposts and understand the source code or peruse a substantialamount of text. In this paper, we use the context that surroundscode elements in StackOverflow posts to summarize the use andpurpose of code elements. To provide focus to our investigation,we consider the generation of summaries for library identifiersdiscussed in StackOverflow. Our automatic summarization approachwas evaluated on a sample of 100 randomly-selectedlibrary identifiers with respect to a benchmark of summariesprovided by two annotators. The results show that the approachattains an R-precision of 54%, which is appropriate given thediverse ways in which code elements can be used.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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