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SYSTEM TESTING AND DEPLOYMENT

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SYSTEM TESTING AND DEPLOYMENT Lecture Seven (Chapter 7, Notes; Chapter 8, Textbook) System Testing & Deployment after Knowledge Codification Stages of KMSLC Quality ... – PowerPoint PPT presentation

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Title: SYSTEM TESTING AND DEPLOYMENT


1
SYSTEM TESTING AND DEPLOYMENT
Lecture Seven (Chapter 7, Notes Chapter 8,
Textbook)
2
System Testing Deployment after Knowledge
Codification
Capture Tools Programs, books, articles, experts
Intelligence gathering
Shells, tables, tools, frames maps, rules
KNOWLEDGE CAPTURE (Creation)
KNOWLEDGE CODIFICATION
DATABASES
TESTING AND DEPLOYMENT
Explicit Knowledge
KNOWLEDGE SHARING
KNOWLEDGE TRANSFER
KNOWLEDGE BASE
3
Stages of KMSLC
Iterative Rapid Prototyping
4
Quality Assurance
  • KM system should meet expectations of members
    represented in the KM team.
  • Performance depend highly on quality of
    explicit/tacit knowledge stored in KB.
  • For expert, quality relates to reasoning process
    that produces reliable and accurate solutions.
  • For user, quality relates to systems ease of use
    and efficiency.
  • For knowledge developer, quality relates to how
    valid the knowledge sources are and how well they
    are codified into KB.

5
KMS Testing
  • To control quality, performance and efficiency of
    both KB and KMS.
  • Types of Testing
  • Logical Testing, make sure that the system
    produces correct results.
  • User Acceptance Testing, follows logical testing
    and check systems behaviour in a realistic
    environment.

6
Hurdles in KMS Testing
  • Subjective nature of tacit knowledge.
  • Lack of reliable specifications to guide testing
  • How to decide whether knowledge is complete
  • Human errors
  • Lack of time
  • User interface un-friendly

7
Logical Testing Approaches
  • Knowledge base formation
  • Structure of knowledge as it relates to circular
    or redundant errors
  • Consistency, correctness, and completeness of
    knowledge base rules
  • Knowledge base functionality
  • Confidence
  • Reliability of knowledge base

8
Logical Errors
  • Circular errors - contradictory in meaning or
    logic
  • Redundancy errors - offer different approaches to
    the same problem
  • Unusable knowledge - comes up no matter
    conditions succeed or fail
  • Subsumption errors - if one rule is true, one
    knows the second rule is always true
  • Inconsistent knowledge - the same inputs yield
    different results

9
User Acceptance Testing Approach
  • Select a person or a team for testing
  • Decide on user acceptance test criteria
  • Develop a set of test cases unique to the system
  • Maintain a log on various versions of the tests
    and test results
  • Field-test the system

10
Requirements for Test Team
  • Independent of the design or codification of the
    system
  • Understand the knowledge problem and computer
    technology
  • Well versed in the organizations goals
  • Know how the system being tested will fit into
    the designated area of operation

11
Content of Test Plan
  • Items of KM system that require testing
  • Schedule of user acceptance testing
  • Description of test methods that are approved by
    user and company
  • Guidelines for documenting test results

12
User Acceptance Criteria
  • Accuracy and correctness of outcome for test
    items
  • Adequacy of the solutions
  • Adaptability to novel input
  • Ease of use
  • Face validity or credibility
  • Robustness
  • Technical/operational test

13
User Acceptance Test Techniques
  • Face validation
  • Test Cases
  • Sub-systems validation

14
Factors affecting System Deployment
  • Technical
  • Organizational
  • Procedural
  • Behavioural
  • Political
  • Economical

15
Steps in KMS Deployment
  • Transfer of KM System from knowledge developer to
    the organizations operating unit.
  • Transfer of KMs skills from knowledge developer
    to the organizations operators.

16
Successful KM System Deployment
  • User has prior experience with computer
    applications
  • User has been involved in the building of the KM
    system
  • Benefits of the KM system is immediate and
    measurable
  • First impression
  • Management support the system from start
  • Adequate user training

17
Factors affecting User Training
  • Primary
  • The users knowledge of knowledge-based system
  • Complexity of KM system and user interfaces ease
    of use
  • Secondary
  • Trainers technical experience/ communication
    skills
  • Environment of training venue

18
Pre User Training Session
  • Define how the KM system agrees with
    organizational mission
  • Demonstrate how the system can support
    organizational goals
  • Allocate adequate resources for the training
    project
  • Advocate positive effects of the system
  • Explain cost-benefit analysis of the KM system

19
Overcome Resistances to Change
  • User attitude survey
  • Communication sessions
  • Role negotiation

20
Post-Implementation Review
  • How KM System has changed accuracy/timeliness of
    decision making
  • How KM System has affected attitude of end users
  • Whether the system has caused constructive
    organizational changes?
  • Whether the system has benefited the operation
    cost?

21
Security Issues
  • The new system should provide password / protocol
    protection.
  • Security procedures should be consistently
    observed.
  • Access should be restricted regarding update of
    the KB.

22
Circular Errors
  • Rule 1
  • IF John and Rob are co-owners of company A
  • THEN John and Rob own the same company
  • Rule 2
  • IF John and Rob own the same company
  • THEN John and Rob are co-owners

23
Redundancy Errors
  • Rule 1
  • IF (Salary gt 50,000 OR HOME gt 100,000)
  • THEN Loan yes
  • Rule 2
  • IF (Salary gt 60,000)
  • THEN Loan yes

24
Unusable Knowledge
  • IF humidity is 5 AND heavy_rain yes
  • THEN some actions

25
Subsumption Errors
  • Rule 1
  • IF A AND B, THEN D
  • Rule 2
  • IF A AND B AND C, THEN D
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