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Record W2010083946 · doi:10.4018/jitsa.2009070104

OSTRA

2009· article· en· W2010083946 on OpenAlex
Fabiano K. T. Tiba, Shuying Wang, Sunitha Ramanujam, Miriam A. M. Capretz

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 Journal of Information Technologies and Systems Approach · 2009
Typearticle
Languageen
FieldComputer Science
TopicService-Oriented Architecture and Web Services
Canadian institutionsWestern University
Fundersnot available
KeywordsService-oriented architectureProcess managementArchitectureComputer scienceService (business)Term (time)Engineering managementKnowledge managementSoftware engineeringWeb serviceBusinessEngineeringWorld Wide Web

Abstract

fetched live from OpenAlex

Service-Oriented Architecture (SOA) is an emerging paradigm that entails building applications as a collection of flexible services. Although there is a considerable amount of research on the challenges involving the transition to SOA, it is still necessary to incorporate frameworks that provide guidance for companies adopting this architecture. Accordingly, this article presents a framework, which is entitled OSTRA (Opportunity-driven Service-oriented TRAnsition). OSTRA provides a realistic approach for the development of SOA by considering short-term and long-term term goals as well as by balancing planning and management. This work describes the three streams that OSTRA organizes throughout the SOA transition: SOA roadmap, SOA development and SOA governance. Moreover, it discusses the implementation of OSTRA in a real organization.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.008
GPT teacher head0.219
Teacher spread0.211 · 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