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Record W1561010165 · doi:10.1109/snpd-sawn.2005.4

A Method Level Based Approach for OO Integration Testing: An Experimental Study

2005· article· en· W1561010165 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 Testing and Debugging Techniques
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsComputer scienceIntegration testingJavaDependency (UML)Class (philosophy)Task (project management)Object-oriented programmingSoftware testingObject (grammar)SoftwareDistributed computingSoftware engineeringProgramming languageArtificial intelligenceSystems engineeringEngineering

Abstract

fetched live from OpenAlex

Objects interact in order to implement behavior. One important problem when integrating and testing object-oriented software is to reduce the number of required test stubs and to determine an effective class integration order. The strong connectivity between classes complicates this task. We present, in this paper, a new class integration testing strategy based on a new class dependency model (CDM). The CDM model takes into account the interactions between classes. In order to validate our approach and to compare it to some of the existing object-oriented integration strategies, we conducted an experimental study on several real-world Java programs. The obtained results show that the strategy we propose reduce considerably the number of required test stubs.

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)0.000
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: Methods
Teacher disagreement score0.955
Threshold uncertainty score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.217
GPT teacher head0.397
Teacher spread0.180 · 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