Model Base Validation Techniques for Software - PowerPoint PPT Presentation

1 / 11
About This Presentation
Title:

Model Base Validation Techniques for Software

Description:

Presidential Information Technology Advisory Committee (PITAC) report to the ... Federal information technology R&D investment is inadequate. ... – PowerPoint PPT presentation

Number of Views:40
Avg rating:3.0/5.0
Slides: 12
Provided by: insu5
Category:

less

Transcript and Presenter's Notes

Title: Model Base Validation Techniques for Software


1
Model Base Validation Techniques for Software
  • Insup Lee

SDRL (Systems Design Research Lab) RTG
(Real-Time Systems Group) Department of Computer
and Information Science University of
Pennsylvania Philadelphia, PA
2
PITAC report
  • Presidential Information Technology Advisory
    Committee (PITAC) report to the President, Feb
    1999.
  • www.hpcc.gov/ac/report/
  • Finding and Recommendations
  • Federal information technology RD investment is
    inadequate.
  • Federal information technology RD is too heavily
    focused on near-term problems.
  • Recommendation  Create a strategic initiative in
    long-term information technology RD.

3
Technical Research Priorities
  • Software Research
  • Scalable Information Infrastructure
  • High-End Computing 
  • Socioeconomic Impacts 
  • Creating Effective Management Structure for
    Federal IT RD

4
Software Research
  • Findings
  • Demand for software far exceeds the Nation's
    ability to produce it.
  • The Nation depends on fragile software.
  • Technologies to build reliable and secure
    software are inadequate.
  • The diversity and sophistication of software
    systems are growing rapidly.
  • More and more often, common activities of
    ordinary people are based on software.
  • The Nation is underinvesting in fundamental
    software research.
  • E.g., Space shuttle, Arian 5, Denver airport,
    etc.

5
Software Research
  • Recommendations
  • Make fundamental software research an absolute
    priority
  • Fund fundamental research in software development
    methods and component technologies.
  • Support fundamental research in human-computer
    interfaces and interaction.
  • Support fundamental research in information
    management techniques for managing, analyzing,
    and explaining information and in making it
    available for its myriad of uses.
  • Make software research a substantive component of
    every major IT research initiative.
  • Increase current funding for software research as
    follows over fiscal years 2000-2004. (112M,
    268M, 376M, 472M, 540M)

6
New Research Directions for Software
  • Model-based software development
  • Multi-faceted programming
  • Composable and customizable frameworks
  • Collaborative software development
  • Intelligent middleware
  • Design of networked embedded systems
  • System/Software co-design environment

7
Model-based software development
  • Research goal to move software development
    toward the use of high-level, domain-specific
    abstractions in the development process.
  • These high-level, domain-specific modeling
    languages must be formal enough to be used
    directly for
  • analysis of designs and
  • software generation.
  • Model-based software development technologies
    should also support a wide range of new
    capabilities such as self-monitoring,
    self-healing, self-adaptation and
    self-optimization.

8
Models in Traditional Engineering
  • Before we build the real thing...

and then evaluate them
we first build models
Selic
9
Software Models
  • Abstract representations of programs that
    highlight properties of interest
  • Models help us to reason about a software system
  • Expressed using problem domain concepts (vs.
    implementation/technology domain concepts)

subsystem subXY () int x,y for I 1 to 55
do xI yI1 case xI of 1
if (xI . . .
Software is the only engineering medium in which
models can be evolved into complete
implementations
Selic
10
Software Development Process
  • Requirements capture and analysis
  • Informal to formal
  • Consistency and completeness
  • Assumptions and interfaces between system
    components
  • Application-specific properties
  • Design specifications and analysis
  • Formal modeling notations
  • Abstractions
  • Analysis techniques (simulation, model checking,
    equivalence checking, testing, etc.)
  • Implementation
  • Manual/automatic code generation
  • Validation (testing, model extraction, etc.)
  • Run-time monitoring and checking

Requirements
Design specification
Implementation
11
Q A
Write a Comment
User Comments (0)
About PowerShow.com