Artificial Intelligence: The Nine Phases of the Expert System Development Lifecycle (ESDLC)
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Aug 24, 2014
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About This Presentation
This presentation is an introduction to Artificial Intelligence: The Nine Phases of the Expert System Development Lifecycle (ESDLC). Topics covered are the following: problem identification phase, feasibility study phase, project planning phase, knowledge acquisition phase, knowledge representation ...
This presentation is an introduction to Artificial Intelligence: The Nine Phases of the Expert System Development Lifecycle (ESDLC). Topics covered are the following: problem identification phase, feasibility study phase, project planning phase, knowledge acquisition phase, knowledge representation phase, knowledge implementation phase, verification and validation, installation/transition/ training, operation/evaluation/maintenance.
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Language: en
Added: Aug 24, 2014
Slides: 7 pages
Slide Content
The Nine Phases of the
Expert System Development
Lifecycle (ESDLC)
Problem
Identification
Knowledge
Acquisition
Feasibility
Study
Project
Planning
Operation,
Evaluation, &
Maintenance
Installation,
Transition &
Training
Verification &
Validation
Knowledge
Implementation
Knowledge
Representation
Figure 1: Expert System Development Life Cycle (ESDLC)
Nine Phases of ESDLC
Problem Identification Phase: Identifying the
problem and opportunity where the
organization can obtain benefits from an ES,
and establishing the ES general goals
Feasibility Study Phase: Assessing the
feasibility of the ES development in terms of
its technical, economical, and operational
feasibility.
Nine Phases of ESDLC
Project Planning Phase: Planning for
the ES project, including development
team members, working environment,
project schedule, and budget.
Knowledge Acquisition Phase:
Extracting domain knowledge from
domain experts and determining the
system’s requirements.
Nine Phases of ESDLC
•Knowledge Representation Phase:
Representing key concepts from the domain,
and interrelationships between these
concepts, using formal representation
methods.
•Knowledge Implementation Phase: Coding
the formalized knowledge into a working
prototype.
Nine Phases of ESDLC
Verification and Validation: Verifying and
validating a working prototype against the
system’s requirement, and revising it as necessary
according to domain experts’ feedback.
Installation/Transition/Training: Installing the
final prototype in an operating environment,
training the users, and developing
documentation/user’s manual.
–Operation/Evaluation/Maintenance Running the
system in an operating environment, evaluating its
performance and benefits, and maintaining the
system.
Nine Phases of ESDLC
Verification and Validation: Verifying and
validating a working prototype against the
system’s requirement, and revising it as necessary
according to domain experts’ feedback.
Installation/Transition/Training: Installing the
final prototype in an operating environment,
training the users, and developing
documentation/user’s manual.
–Operation/Evaluation/Maintenance Running the
system in an operating environment, evaluating its
performance and benefits, and maintaining the
system.