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Record W2152936139 · doi:10.1109/icsm.2006.51

Reengineering User Interfaces of E-Commerce Applications Using Business Processes

2006· article· en· W2152936139 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

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Process Modeling and Analysis
Canadian institutionsQueen's University
Fundersnot available
KeywordsBusiness process reengineeringComputer scienceBusiness processUser interfaceBusiness ruleArtifact-centric business process modelHuman–computer interactionUsabilityBusiness process modelingProcess managementBusinessOperating systemWork in process

Abstract

fetched live from OpenAlex

E-commerce applications are designed to streamline the business processes for an organization. Graphical user interfaces allow business users to perform daily business activities by interacting with ecommerce applications through menu-driven user interface components, such as toolbars and dialog windows. However, business users are often overwhelmed by the enormous functionality available. Users struggle in deciding where to start and where to go next in order to accomplish tasks required by business processes. In this paper, we utilize the knowledge embedded in business processes to reengineer the user interfaces of existing e-commerce applications that implement business processes. We aim to improve the usability of user interfaces by providing contextual information and guiding users to fulfill business processes step by step. We evaluate our proposed approach by reengineering the user interface of an existing e-commerce application.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.612
Threshold uncertainty score0.647

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 communication0.0000.001
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 head0.017
GPT teacher head0.220
Teacher spread0.203 · 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

Quick stats

Citations10
Published2006
Admission routes1
Has abstractyes

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