'Generate code' diaporamas de présentation

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AMRM: Project Technical Approach

AMRM: Project Technical Approach. A Technology and Architectural View of Adaptation. Rajesh Gupta Project Kickoff Meeting November 5, 1998 Washington DC. Outline. Technology trends driving this project Changing ground-rules in high-performance system design

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VisiRule

VisiRule. An overview of the VisiRule decision logic charting tool. What is VisiRule?. Decision Support tool Knowledge Management tool Artificial Intelligence Expert Systems Knowledge Transfer tool. How does VisiRule work?. Draw some nodes and links Add some text [labels, expressions]

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Presentation by Jason Kealey jkealey@shade University of Ottawa

Round-trip engineering. Presentation by Jason Kealey jkealey@shade.ca University of Ottawa. Round-trip engineering. Problem statement Presentation Goals Tools and techniques Implementation level transformations Design to Implementation and back. Requirements to Design and back.

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Run Time Optimization

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Synthesizing models with classes for automating code generation

Synthesizing models with classes for automating code generation. Cleanscape SourceMill automatic source code generator. Common software developer issues*. Time to market pressure Cross platform development Changing design requirements Shrinking budgets High cost of failure.

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What is Wrong with Models?

What is Wrong with Models?. Omar Badreddin www.OmarBadreddin.com Post Doctoral Fellow, University of Ottawa oobahy@gmail.com. The Future of Modeling. Modeling Today. Desktop Modeling tools. 100% of the modeling tools are primarily IDE based Only a few support web based environment.

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CS412/413

CS412/413. Introduction to Compilers and Translators March 10, 1999 Lecture 17: Finishing basic code generation. Outline. Implementing function calls Implementing functions Optimizing away the frame pointer Dynamically-allocated structures: strings and arrays

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Application-Specific Languages

Application-Specific Languages. General-purpose languages. A general-purpose language is designed for a wide variety of programming problems Examples: C , C++ , Fortran , Algol , Pascal , Java To meet conflicting demands, a general-purpose language must make many compromises. ASLs.

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Umple Toolkit for Model-Oriented Programming

Umple Toolkit for Model-Oriented Programming. NECSIS Webinar, May 3 2013 Timothy C. Lethbridge, University of Ottawa tcl@eecs.uottawa.ca http://www.eecs.uottawa.ca/~tcl http://www.umple.org. Model-Oriented Programming (in general).

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Languages and Compiler Design II Project 5 Hints

Languages and Compiler Design II Project 5 Hints. Material provided by Prof. Jingke Li Stolen with pride and modified by Herb Mayer PSU Spring 2010 rev.: 4/16/2010. Agenda. SPARC Assembly Code Generation CodeGen Class Register Representation Simple Register Allocation Freeing Registers

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cosynthesis

cosynthesis. Introduction to cosynthesis Rabi Mahapatra CPSC498. Introduction. What is cosynthesis? It is a problem to synthesize the hardware, software and interface for final implementation. Based on a target architecture, we consider the development of architecture and present here.

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CPSC 875

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Problem 4

Problem 4. SC Java Byte Code Generator. Cheng-Chia Chen. Goals. Build a back end for SC to generate Java byte codes from the AST created in Problem 3.

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Apache Axis:

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SENG 422 Lab 3

SENG 422 Lab 3. In the last lab we did a brief overview of Design Patterns and of Linux Screen. For this lab search the internet and find a design pattern you can replicate by using a UML diagram, any of your choice.

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Automatic Code Generation

Automatic Code Generation. By James Phillips. What is Automatic Code Generation?. Automatic Code Generation refers to using programs to generate code that the user would otherwise have to write themselves. Why use Automatic Code Generation?.

431 views • 6 slides