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Record W2066288815 · doi:10.4018/jssmet.2011010104

Situated Service-Oriented Modeling

2011· article· en· W2066288815 on OpenAlexaff
Raafat George Saadé, Rustam Vahidov

Bibliographic record

VenueInternational Journal of Service Science Management Engineering and Technology · 2011
Typearticle
Languageen
FieldComputer Science
TopicService-Oriented Architecture and Web Services
Canadian institutionsConcordia University
Fundersnot available
KeywordsOperabilitySituatedComputer scienceProcess managementKnowledge managementService (business)Flexibility (engineering)Service designReusabilityService delivery frameworkService providerUsabilitySystems engineeringRisk analysis (engineering)Software engineeringEngineeringHuman–computer interactionBusinessArtificial intelligenceSoftware

Abstract

fetched live from OpenAlex

The emergence of e-services benefited the stakeholders due to ease of access to data, information and knowledge sources. Service-based applications have evolved into flexible and adaptable systems capable of coping with changes in user requirements and business processes. The shift from monolithic application silos towards service-oriented approaches is evident in the literature today. The benefits of service-oriented approaches include cost effectiveness, improved inter-operability, reusability, and flexibility. The benefits are not enjoyed without the threat of cognitively overloading managers in their decision making activities. Tools for effective management of information are necessary. Effective and efficient service-oriented applications need to operate within their situational boundaries. As such, decision support type tools require tight integration with the service-based approach. This study proposes an integrated Situated Service-Oriented Model and demonstrates its value via a case study of an e-learning service-based application used over a period of 15 months. Two designs were used; component-based and service-oriented. The significance of this study is in the tangible value of the model proposed and demonstrated by the e-learning case study.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.931
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0030.001
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 head0.009
GPT teacher head0.207
Teacher spread0.197 · 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 designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations2
Published2011
Admission routes1
Has abstractyes

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Same venueInternational Journal of Service Science Management Engineering and TechnologySame topicService-Oriented Architecture and Web ServicesFrench-language works237,207