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Record W2913009888

Proceedings of the 7th International Workshop on Automation of Software Test

2012· article· en· W2913009888 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

VenueInternational Conference on Software Engineering · 2012
Typearticle
Languageen
FieldComputer Science
TopicSoftware Testing and Debugging Techniques
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAutomationTheme (computing)Scope (computer science)Test (biology)Software engineeringSoftware testingComputer scienceSelection (genetic algorithm)Engineering managementDiversity (politics)SoftwareEngineeringWorld Wide WebOperating systemProgramming languagePolitical scienceArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

The theme of this year's workshop, aligned with the ICSE 2012 conference theme, is Automation of Security Testing. The broad scope of AST is reflected in the wide range of topics covered by the 33 submissions that we received. Of these, with the 34 members of the AST Program Committee from both academic and industrial research labs, we selected 22 regular research papers that are grouped into seven sessions, representing a diversity of test automation related topics. The seven sessions are: •Security •Surveys •Industrial case studies •Input generation/selection I •GUI testing •Design for test •Input generation/selection II

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.767
Threshold uncertainty score0.606

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
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 head0.030
GPT teacher head0.270
Teacher spread0.239 · 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