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Design Completion A Major Milestone

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Presentation on theme: "Design Completion A Major Milestone"— Presentation transcript:

1 Design Completion A Major Milestone
System is Presented to Users and Management for Approval

2 Data Storage First, select the storage format Then optimize:
data storage efficiency access speed

3 A good data model Simple, straightforward Minimize wasted space
Nonredundant (data integrity) Flexible, adaptable to future needs

4 Physical ERDs Entities become tables Attributes become fields
Add primary keys Add foreign keys Add system related components

5 Optimizing Access Speed
Tradeoff between storage efficiency and speed denormalization archiving indexing

6 Programming and Testing a New System
The Most Potentially Difficult Phase - ‘Reality Time’ Key Tradeoff: Development versus Maintenance Effort Lead Programmer Has to Synthesize Many Members’ Work End Users Assume Ownership of the Project Ford Pinto example…

7 Planning the Programming Effort
Careful Selection of Milestones and Modularity of Programming Tasks are Important

8 Planning the Programming Effort
Programs Evolve in Stages: program specifications prototype functional units alpha test system beta test system production system Windows 7 went production yesterday

9 System Programming and Testing
Can You Ever Expect a System to be Error Free? Objectives at This Phase Identify Flaws Operational Technical Economic ‘If we didn’t release the program before it was completely tested, the machines would be obsolete - and so would the program - before they were delivered...’ Herbert Schorr, IBM

10 System Programming and Testing
Rigorously Test the System Prepare the Site for Conversion Prepare to Release the System to the Users

11 Implementation Planning
Testing: Stub Tests test individual routines with dummy linkages Unit Tests individual modules

12 Implementation Planning
Testing: Program Tests program tests with test data loading in real data

13 Implementation Planning
Testing: Integration Tests related modules working together System Tests interfaces between program modules and other programs data access and updating

14 Implementation Planning
Testing: Acceptance Tests user’s most critical role system functions as expected documentation sufficient personnel adequately trained operating procedures clear appropriate liaisons with technical support staff

15 System Testing The focus here is on ERROR AVOIDANCE
The testing focus then migrates to ERROR DETECTION then to ERROR ELIMINATION

16 System Tests Peak Load Test: extreme conditions
User - Hardware Interface: common usage problems Recovery Test: simulate emergencies Average Turnaround Time: verify processing levels

17 System Tests Documentation: user’s manuals
Storage: system’s ability to handle interim files Communications: speed, security, accuracy Use: gauge impact of user’s actions

18 Conversion and Implementation
Parallel Evolutionary ‘Safest’ Not Always Feasible Phased by Subsystems Piecewise implementation of logically divisible components Phased by Location (Single Location) partial implementation in modules, such as divisions or outlets

19 Conversion and Implementation
Phased by Data Characteristic Phased in functionality for a select subset of accounts Crash (Direct) worst for systems objectives, but often necessary requires the most planning Day One Changeover minimal data conversion restart company data base from ‘day one’

20 Training A Function of the Conversion Process Pilot Phased
cycle users through the new system Phased Implement around training schedule

21 Training Crash Parallel hopefuly, train on a prototype
alternately, train the trainers (cascading) Parallel several options, depends on temporary support work beside the ne system and switch over work with trainers running old system

22 Issues to Consider for Conversion Approach
Risk Timing of Benefits Development Time Personnel Resource Requirements Computer Resource Requirements Current System Maintenance

23 Issues to Consider for Conversion Approach
Project Management Complexity Ease of Verification Training Impact Fallback Feasibility


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