MétaCan
Menu
Back to cohort
Record W2151965495 · doi:10.1109/icsm.2002.1167788

From legacy to Web through interaction modeling

2003· article· en· W2151965495 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Database Systems and Queries
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLegacy systemComputer scienceUser interfaceReuseContext (archaeology)World Wide WebWeb serviceInterface (matter)Software engineeringSuiteBusiness process reengineeringHuman–computer interactionProgramming languageOperating systemEngineeringSoftware

Abstract

fetched live from OpenAlex

In the context of the CelLEST project, we have been investigating the problem of reengineering and reusing the services provided by legacy applications, running on mainframe hosts. This work has resulted in a suite of methods, based on understanding and modeling the users' interaction with the legacy-application interface. These methods aim at (a) modeling the behavior of the legacy user interface as a state-transition diagram, (b) recovering specifications for the application's functions by discovering the users' tasks as frequently occurring interaction patterns, and (c) constructing new user-interface front-ends to make the recovered legacy functions accessible through the Web. We describe the overall process for legacy migration to the World Wide Web, using the CelLEST methods, and we illustrate it with an example 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.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.970
Threshold uncertainty score0.296

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 science0.0000.000
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 head0.039
GPT teacher head0.298
Teacher spread0.260 · 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

Citations49
Published2003
Admission routes2
Has abstractyes

Explore more

Same topicAdvanced Database Systems and QueriesFrench-language works237,207