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Record W198672284

Real Time UML: Advances in the UML for Real-Time Systems (3rd Edition)

2004· book· en· W198672284 on OpenAlexaboutno aff
Bruce Powel Douglass

Bibliographic record

VenueAddison-Wesley Longman Publishing Co., Inc. eBooks · 2004
Typebook
Languageen
FieldSocial Sciences
TopicSoftware Engineering and Design Patterns
Canadian institutionsnot available
Fundersnot available
KeywordsUnified Modeling LanguageComputer scienceSoftware engineeringProgramming languageSoftware
DOInot available

Abstract

fetched live from OpenAlex

Praise for Real Time UML, Third Edition“I found Real Time UML, Third Edition to provide an informative and practical application of UML 2.0 to the development of real-time systems, and well worth the read by systems and software engineers. It is written in plain English and provides the right balance of depth and breadth.” i? i? i? i? i? i? i? i? i? -Sanford Friedenthal i? i? i? i? i? i? i? i? i? i? i? i? i? Deputy, Corporate Systems Engineering, i? i? i? i? i? i? i? i? i? i? i? i? i? Lockheed Martin Corporation i? i? i? i? i? i? i? i? i? i? i? i? i? Chair: OMG Systems Engineering i? i? i? i? i? i? i? i? i? i? i? i? i? Domain Special Interest Group“Douglass has again made highly technical material accessible to everyone. This book is an excellent introduction to the new UML 2.0, and if you want to learn what modeling for real-time environments is like, this is the book to read. His witty, conversational style should be a model for all authors of technical material.” i? i? i? i? i? i? i? i? i? -Gary K. Evans i? i? i? i? i? i? i? i? i? i? i? i? i? Founder and Object Evangelist, i? i? i? i? i? i? i? i? i? i? i? i? i? Evanetics, Inc. (www.evanetics.com)“Douglass has been a co-chair of the OMG's group interested in quality of service issues and, therefore, has valuable insights into the usefulness of these emerging technologies. His clear presentation of this information helps those applying these advanced technologies to extract the most benefit for their organizations and products, not only for the intended real-time embedded product, but also for products whose quality of performance, while not critical, is nevertheless of interest.” i? i? i? i? i? i? i? i? i? -Therese M. Smith i? i? i? i? i? i? i? i? i? i? i? i? i? President and CEO, i? i? i? i? i? i? i? i? i? i? i? i? i? Air Traffic Software Architecture, Inc. i? i? i? i? i? i? i? i? i? i? i? i? i? (USA and Canada)“The author presents an excellent overview of UML in the real-time space with plenty of colorful examples. This book is an excellent teaching tool for a newcomer or a reference for an expert!” i? i? i? i? i? i? i? i? i? -Soma Chatterjee i? i? i? i? i? i? i? i? i? i? i? i? i? Senior Product Manager, i? i? i? i? i? i? i? i? i? i? i? i? i? I-LogixThe increasing complexity of embedded and real-time systems requires a more premeditated and sophisticated design approach for successful implementation. The object-based Unified Modeling Language (UML) can describe the structural and behavioral aspects critical to real-time systems and has come to the fore as an outstanding medium for effective design.Like its best-selling predecessors, Real Time UML, Third Edition, provides an overview of the essentials of real-time systems and an introduction to UML that focuses on the use of the ever-evolving standard in design and development. This accessible book examines requirements analysis, the definition of object structure and behavior, architectural and mechanistic design, and more detailed designs that encompass data structure, operations, and exceptions. Numerous figures help illustrate UML design techniques, and detailed, real-world examples show the application of those techniques to embedded systems.This significantly revised edition features the new UML 2.0 standard, which dramatically improves the clarity of the UML for capturing architectures and improving its scalability. Real Time UML, Third Edition, also introduces the UML Profile for Schedulability, Performance, and Time (STP Profile). The STP Profile provides a standardized way to capture schedulability and performance constraints of systems. This allows analysis tools to read and analyze UML models.Key topic coverage includes: The Rapid Object-Oriented Process for Embedded Systems (ROPES) Concurrency and resource modeling with the Real-Time (SPT) UML Profile Tapping action semantics for greater executability Scenario modeling with timing diagrams Key strategies for object identification Defining object state behavior Representing and identifying threads Mechanistic design patterns Representing Command, Control, Communications, Computers, Intelligence, and Reconnaissance (C4ISR) Architectures with the UML

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Software · Consensus signal: none
Teacher disagreement score0.056
Threshold uncertainty score0.186

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.002
Scholarly communication0.0090.008
Open science0.0020.003
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0560.069

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 head0.016
GPT teacher head0.275
Teacher spread0.259 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreSoftware

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations55
Published2004
Admission routes1
Has abstractyes

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