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IEEE International Conference on

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New Software and System Engineering for the New Computing Paradigm. W. T. Tsai ... OO system engineering (OOSE) OO testing. OO maintenance. OO application frameworks ... – PowerPoint PPT presentation

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Title: IEEE International Conference on


1
New Software and System Engineering for the New
Computing Paradigm
  • W. T. Tsai
  • Arizona State University
  • wtsai_at_asu.edu

2
Service-Oriented Computing (SOC)
  • Receives significant attention recently
  • DoD has initiated many service-oriented projects
    such as NCES, GIG-ES, JBMC2, JBI, FORCEnet, and
    FCS.
  • Supported by many computer and software
    companies, such as IBM, Microsoft, Oracle, SAP,
    and Intel.
  • Service-oriented architecture (SOA) allows
    dynamic service discovery, binding, execution,
    monitoring, and evaluation.
  • Web Services is an example of SOC and it uses a
    variety of standardized protocols such as UDDI,
    SOAP, WSDL, OWL-S, ebSOA, ebXML, FERA, CPP, and
    CPA.

3
The Three-Party Model of Web Services
Directory services UDDI / WSDL / SOAP ebXML /
CPP Ontology
White page

Service brokers
Yellow page
Programming languages C, C Java
Registry
Registry
Green page
Internet
Found


Publishing
Find

?

Computing service development .Net
(Microsoft) WebSphere (IBM)
?
SOAP call
?
Results
Application development platforms Specification
languages .Net, WebSphere, WSFL, BPEL, PSML for
composition, code generation
Web and data service development XML, RDF, OWL,
WSDL
4
Service-Oriented Computing is different than OO
Computing
  • Some people think SOA is just a minor variant of
    OO computing as SO languages are evolved from OO
    languages
  • People said the similar things when OO was
    introduced (such as OO is just a minor increment
    of data abstraction). But an OO applications are
    indeed different from procedural programming with
    data abstraction.
  • Even though SO languages evolves from OO
    languages, but an SO applications including its
    system structure, system composition,
    reliability, verification and validation,
    security, reconfiguration capabilities are rather
    different from the corresponding OO programming.

5
Differences
  • Instead of static composition (with dynamic
    objects and dynamic binding) in OO, SOA allows
    dynamic (on-demand) composition in at runtime,
    and with knowledge of the service interface only
  • Include dynamic discovery and matching
  • Runtime ranking and selection of services
  • Runtime interoperability verification
  • Dynamic collaboration discovery, establishment,
    and termination
  • Due to these constraints, SO applications require
    a new approach of engineering

6
From Object-Oriented Paradigm to Service-Oriented
Paradigm
OO Modeling Languages IDE
OO Technology Framework
OO Languages
OO system engineering (OOSE) OO testing OO
maintenance OO application frameworks OO
databases (OODB) OO lifecycle (XP? MDA?)
Object- Oriented Concept Architecture
Simula Smalltalk Objective C C Java
UML CORBA MS .Net JDK GCC
SO Modeling Languages IDE
SO Technology Framework
SO Standards
SO System Engineering (SOSE?) SO testing
(WebStrar?) SO maintenance (re-composition?) SO
frameworks (FERA? SOI?) SO databases (Ontology
DB, SODB?) SO Lifecycle (MDA, re-composition)
XML UDDI ebXML WSDL SOAP OWL
Service- Oriented Concept Architecture
BPEL WSFL XLANG MS. Net WebSphere
7
SOC Changes System and Software Development
  • Service-oriented requirement engineering
  • Model-based
  • Architecture-based
  • Reuse-oriented
  • Framework-oriented analysis
  • Simulation-based analysis with formal analysis
  • Service-oriented architecture and design
  • Enterprise computing
  • Dynamic collaboration
  • Dynamic system composition
  • Dynamic system analysis

8
SOC Changes System and Software Development
  • Service-oriented programming languages
  • Model-based development
  • Automated code generation
  • Service-oriented implementation
  • Dynamic discovery
  • Dynamic composition
  • Model-based architecture
  • Automated code generation
  • Collaborative verification and validation
  • Dynamic testing including test generation,
    execution, monitoring, and evaluation
  • Dynamic model checking
  • Dynamic simulation including simulation code
    generation, distributed simulation
  • Dynamic reliability estimation, data collection,
    control, evaluation

9
SOC Changes System and Software Development
  • Dynamic policy construction, verification,
    simulation, enforcement of security and other
    policies using formal policy languages
  • System maintenance and update will be via service
    re-composition and possibly architectural
    reconfiguration

10
Differences
11
Traditional VV
VV Techniques
Development process
Requirement VV
Requirement Specification
Modeling Simulation CC, Model
Checking, Prototyping, Inspection
Design VV
Design
Modeling Simulation CC, Model
Checking, Prototyping, Inspection
Implementation VV
Black-box testing, White-box Testing, Model
checking, Reliability Modeling
Implementation
Operation VV
Operation
Acceptance/Field testing Operational profile,
Data Analysis Instrumentation
12
Dynamic Verification and Validation
Dynamic VV Techniques
Development/operation
Requirement VV
Requirement Specification/ Design
Dynamic and automated CC, model checking test
case generation
Automated code generation
Policy extraction
Re-composition
Real-Time VV, Monitoring Simulation
Reconfiguration
Operation
13
Dependable and Automated Software Development
with RTV2
14
Dynamic Verification and Distributed Simulation
15
Adaptive Control Framework for SOC
16
Structure model
Activity diagram
Collaboration diagram
Sequence diagram
17
State model
Reliability model
Model checking
PSML
Dynamic testing
Policy
Collaboration pattern
Reconfiguration
Simulation
18
Summary
  • The SOC is a new paradigm, and each computing
    paradigm will need its own specific system
    engineering techniques including specification,
    analysis, design, architecture, patterns,
    verification and validation, simulation,
    operation and maintenance.
  • The promise of this paradigm is that it will
    provide significant productivity gain with
    advanced features not available today.
  • Due to nature of SOC, many of traditional system
    engineering need to be modified and integrated to
    fit the SOC. Many of these may need to be carried
    out at runtime as new applications are composed.

19
Summary
  • Both the process (including requirement, design,
    coding, verification and validation, operation,
    and maintenance) and technologies will be
    different for SOC.
  • This is an exciting area for research and this is
    an excellent time for this effort.
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