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Record W2122010595 · doi:10.1109/icsm.2005.13

A reference architecture for Web browsers

2005· article· en· W2122010595 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsComputer scienceImplementationArchitectureReuseDomain (mathematical analysis)Reference architectureWeb browserWorld Wide WebSoftware engineeringThe InternetSoftware architectureProgramming languageEngineering

Abstract

fetched live from OpenAlex

A reference architecture for a domain captures the fundamental subsystems common to systems of that domain as well as the relationships between these subsystems. Having a reference architecture available can aid both during maintenance and at design time: it can improve understanding of a given system, it can aid in analyzing tradeoffs between different design options, and it can serve as a template for designing new systems and re-engineering existing ones. In this paper, we examine the history of the Web browser domain and identify several underlying phenomena that have contributed to its evolution. We develop a reference architecture for Web browsers based on two well known open source implementations, and we validate it against two additional implementations. Finally, we discuss our observations about this domain and its evolutionary history; in particular, we note that the significant reuse of open source components among different browsers and the emergence of extensive Web standards have caused the browsers to exhibit "convergent evolution".

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.817
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.024
GPT teacher head0.276
Teacher spread0.252 · 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

Citations92
Published2005
Admission routes1
Has abstractyes

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