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Record W1986995668 · doi:10.1002/spe.1068

A business process‐driven approach for generating software modules

2011· article· en· W1986995668 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

VenueSoftware Practice and Experience · 2011
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Software Engineering Methodologies
Canadian institutionsQueen's University
Fundersnot available
KeywordsBusiness requirementsComputer scienceBusiness process modelingBusiness softwareModular designArtifact-centric business process modelSoftware engineeringBusiness ruleBusiness domainBusiness processModularity (biology)Software developmentBusiness Process Model and NotationSoftwareProcess managementProgramming languageEngineeringOperations managementWork in process

Abstract

fetched live from OpenAlex

SUMMARY Business processes describe the business operations of an organization and capture the business requirements. Business applications provide automated support for an organization to achieve their business objectives. A software modular structure represents the structure of a business application and shows the distribution of functionality to software components. However, mainstream design approaches rely on software architects' craftsmanship to derive software modular structures from business requirements. Such a manual approach is inefficient and often leads to inconsistency between business requirements and business applications. To address this problem, we propose an approach to derive software modular structures from business processes. We use clustering algorithms to analyze dependencies among data and tasks captured in business processes and group the strongly dependent tasks and data into a software component. A case study is conducted to generate software modular structures from a collection of business processes from the industrial setting and open‐source development domain. The experiment results illustrate that our proposed approach can generate meaningful software modular structures with high modularity. Copyright © 2011 John Wiley & Sons, Ltd.

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)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
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 score0.620
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
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 head0.073
GPT teacher head0.319
Teacher spread0.247 · 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