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Record W2349528703

Review on Web Service Testing Technologies

2010· article· en· W2349528703 on OpenAlexvenueno aff
Liu Jian-xun

Bibliographic record

VenueMicrocomputer applications · 2010
Typearticle
Languageen
FieldComputer Science
TopicService-Oriented Architecture and Web Services
Canadian institutionsnot available
Fundersnot available
KeywordsWeb serviceComputer scienceWS-PolicyWeb modelingWeb standardsWorld Wide WebService-oriented architectureWeb developmentWeb application securityWeb engineeringData WebWeb testingWS-I Basic Profile
DOInot available

Abstract

fetched live from OpenAlex

Service Oriented Architecture (SOA) has become the major trend for developing Web-based distributed systems recently. As a form of SOA,Web services have applied more and more widely. However,the quality of Web service presents a barrier to widening the application of Web services. Therefore,it is necessary to test Web service in order to ensure the quality of Web service. Due to the unique characteristics of Web services,traditional software testing techniques are no longer suitable for Web service testing,so it is necessary to study Web service testing methods and technologies. This paper talks about the difficulty of testing Web service based on SOA and the basic Web service testing methods. It also analyzes the related research articles on testing Web services. At last,it concludes the shortages of the current research methods and technologies and point out some future research directions on testing Web services.

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.

How this classification was reachedexpand

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: Methods
Teacher disagreement score0.982
Threshold uncertainty score0.790

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.013
GPT teacher head0.247
Teacher spread0.235 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2010
Admission routes1
Has abstractyes

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