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Use Cases in the UML

2009· book-chapter· en· W4247438425 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

VenueIGI Global eBooks · 2009
Typebook-chapter
Languageen
FieldComputer Science
TopicModel-Driven Software Engineering Techniques
Canadian institutionsMemorial University of NewfoundlandUniversity of Lethbridge
Fundersnot available
KeywordsUnified Modeling LanguageUML toolObject Constraint LanguageApplications of UMLComputer scienceProgramming languageSoftware engineeringClass diagramSoftware

Abstract

fetched live from OpenAlex

The unified modeling language (UML) emerged in the mid-1990s through the combination of previously competing object-oriented systems analysis and design methods, including Booch (1994), Jacobson, Christerson, Jonsson, and Overgaard (1992), Rumbaugh, Blaha, Premerlani, Eddy, and Lorensen (1991) and others. Control over its formal evolution was placed in the hands of the object management group (www.omg.org), which recently oversaw a major revision to UML 2.0 (OMG, 2005). The UML has rapidly emerged as a standard language and notation for object-oriented modeling in systems development, while the accompanying unified software development process (Jacobson, Booch, & Rumbaugh, 1999) has been developed to provide methodological support for applying the UML in software development. Use cases play an important role in the unified process, which is frequently described as “use case driven” (e.g., Booch et al., 1999, p. 33). The term “use case” was introduced by Jacobson (1987) to refer to a text document that outlines “a complete course of events in the system, seen from a user’s perspective” (Jacobson et al., 1992, p. 157). The concept resembles others being introduced around the same time. Rumbaugh et al. (1991), Wirfs-Brock, Wilkerson, and Wiener (1990), and Rubin and Goldberg (1992) use the terms “scenario” or “script” in a similar way. While use cases were initially proposed for use in object-oriented analysis and are now part of the UML, they are not inherently object-oriented and can be used with other methodologies.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.526
Threshold uncertainty score1.000

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 science0.0020.000
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 head0.035
GPT teacher head0.253
Teacher spread0.217 · 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