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Record W2130208816 · doi:10.1109/aswec.2008.4483222

Transformation from CIM to PIM Using Patterns and Archetypes

2008· article· en· W2130208816 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

VenueProceedings - Australian Software Engineering Conference/Proceedings · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Process Modeling and Analysis
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsComputer scienceSoftware engineeringReusabilityBusiness process modelingTraceabilityModel transformationBusiness ruleBusiness processSystems engineeringProgramming languageSoftwareEngineeringWork in processArtificial intelligenceConsistency (knowledge bases)

Abstract

fetched live from OpenAlex

Model transformations form a key part of MDA (model-driven architecture). Most of the studies deal with the transformations from PIM (platform-independent model) to PSM (platform-specific model) and PSM to Code, but very few deal with the transformation from CIM (computation-independent model) to PIM. This last transformation usually depends on business analysts' and software architects' experience and creativity. This paper proposes a disciplined approach to transform a CIM into a PIM. It first uses UML2 activity diagrams to model the business processes up to the users' tasks. The activity diagrams are then detailed to specify the system requirements. The system components are directly deduced from the requirement model elements. Finally, a set of business archetypes helps detail the system components to yield the PIM. The same approach applies equally to CIM and PIM built to model inter-enterprise processes and systems. A case study illustrates our approach. It demonstrates how it reinforces the components traceability and reusability and how it globally improves the modeler's efficiency. Furthermore, the use of the activity diagrams, as a single technique to build business process and requirement models, is an important facilitator which prepares our further work to automate this approach.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0000.000
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 head0.041
GPT teacher head0.225
Teacher spread0.184 · 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