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Record W2154473425 · doi:10.1109/wcre.2007.5

A Model to Understand the Building and Running Inter-Dependencies of Software

2007· article· en· W2154473425 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

VenueProceedings - Working Conference on Reverse Engineering · 2007
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Software Engineering Methodologies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsComputer scienceDependency (UML)SoftwareSoftware visualizationModular designSoftware architectureSoftware engineeringSoftware frameworkSoftware systemArchitectureVisualizationSoftware constructionProgramming languageData mining

Abstract

fetched live from OpenAlex

The notion of functional or modular dependency is fundamental to understand the architecture and inner workings of any software system. In this paper, we propose to extend that notion to consider dependencies at a larger scale, between software applications (usually programs or libraries themselves). These dependencies, which we call inter-dependencies are of exceptional importance in free an open source software (FOSS), where it is common to build new applications by taking advantage of a rich and complex environment of programs and libraries whose functionality is available. To explore this concept, a methodology and visualization for studying inter-dependencies of a complex software system is presented and applied to one of the largest distributions of FOSS: Debian GNU/Linux.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.497
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.094
GPT teacher head0.297
Teacher spread0.203 · 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