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Record W4366550619 · doi:10.1145/3544549.3585767

A Field Study of Developer Documentation Format

2023· article· en· W4366550619 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsMcGill University
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsDocumentationComputer sciencePresentation (obstetrics)ProgrammerField (mathematics)Information retrievalBaseline (sea)Technical documentationWorld Wide WebMultimediaCode (set theory)Programming languageSet (abstract data type)

Abstract

fetched live from OpenAlex

Documentation facilitates the transfer of knowledge among programmers and helps them become familiar with new technologies. However, the effectiveness with which a reader can find information in a document depends on its presentation format. In a prior publication, we presented Casdoc, a novel dynamic format for code examples. In this work, we synthesized five documentation presentation guidelines from prior research on programmer information needs and search behaviors. We then used Casdoc as an instrument to evaluate the impact of these guidelines in a field study with 326 students who used 126 documents over several months. Participants overwhelmingly chose to use Casdoc instead of a static baseline format. We observed that interactive documents can contain more information without distracting its readers. We also found some limitations that authors should consider when applying the guidelines, such as the large impact of small differences in visual cues to help readers navigate a document.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.311
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations4
Published2023
Admission routes2
Has abstractyes

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