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Record W2134879838 · doi:10.1109/icstw.2009.8

Automated Reverse Engineering of UML Sequence Diagrams for Dynamic Web Applications

2009· article· en· W2134879838 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
FieldComputer Science
TopicWeb Applications and Data Management
Canadian institutionsQueen's University
Fundersnot available
KeywordsComputer scienceSequence diagramUnified Modeling LanguageSoftware engineeringUML toolScripting languageReverse engineeringWeb applicationApplications of UMLThe InternetPlug-inProgramming languageSoftwareWorld Wide Web

Abstract

fetched live from OpenAlex

This paper presents an approach and tool to automatically instrument dynamic Web applications using source transformation technology, and to reverse engineer a UML 2.1 sequence diagram from the execution traces generated by the resulting instrumentation. The result can be directly imported and visualized in a UML toolset such as rational software architect. Our approach dynamically filters traces to reduce redundant information that may complicate program understanding. While our current implementation works on PHP-based applications, the framework is easily extended to other scripting languages in plug-and-play fashion. In addition to supporting web application understanding, our tool is being used to recover traces from dynamic Web applications in support of Web application security analysis and testing. We demonstrate our method on the analysis of the popular Internet bulletin board system PhpBB 2.0.

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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score0.254

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 communication0.0000.000
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 head0.013
GPT teacher head0.268
Teacher spread0.255 · 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

Citations38
Published2009
Admission routes1
Has abstractyes

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