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Tips for IT Project Management
Dr. Huy Nguyen
• General issues
• Linear method
• Incremental method
• Iterative method
• Adaptive method
• Extreme method
IT Project Management
2
• Clarity of goal and solution;
General issues
3
• Domains increase with unclear goal and solution:
– Risk;
– Team cohesiveness;
– Communications;
– Customer involvement;
– Lack of specification;
– Change.
General issues
4
• Balancing staff  process  technology:
General issues
5
• Migration strategy between S, P and T:
General issues
6
• Migration strategy between S, P and T (cont.):
General issues
7
• Staff-driven environments:
General issues
8
• Process-driven environments:
General issues
9
• Technology-driven environments:
General issues
10
• Linear SDPM strategy:
– Simplest and most intuitive;
– Assumption: Nearly perfect information about goal and solution as can
reasonably be expected and not easy to accommodate any deviations.
Linear method
11
• Incremental SDPM strategy:
– First variation of Linear Method, can modify the process to take
advantages;
– Assumption:
• Goal and the solution must both be clearly defined and documented;
• Require the complete documentation of requirements, functionality, and
features.
Incremental method
12
• Iterative SDPM strategy:
– First departure from the comfortable world of the Linear and Incremental,
into the unknown;
– Assumption:
• Requires a solution that broadly covers the requirements, but might be missing
some of the details (missing some depth / features);
• Allows for several types of iteration as Not all of the solution is clearly known;
• Use of intermediate solutions to discovering the intimate details of the
complete solution.
Iterative method
13
• Adaptive SDPM strategy:
– Second step into the unknown;
– Assumption:
• Encounter where the solution might be totally or partially unknown;
• Missing both depth and breadth of the solution (features and functions);
• All of the conditions in the Iterative Method applied here (iteration, change to
converge to a complete solution, etc.
– Limit: More risks, uncertainty and complexity.
Adaptive method
14
• Extreme SDPM strategy:
– First place in Research and Development (R&D) mode;
– Assumption:
• Goals and solution are not known or not clearly defined, as fuzzily defined;
• Process repeats itself over and over again (either the partial solution
converges on a satisfactory solution);
• No fixed budget or timeline;
• Open to a lot of changes.
Extreme method
15
Thank You
16

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Tips - IT Project Management.pdf

  • 1. Tips for IT Project Management Dr. Huy Nguyen
  • 2. • General issues • Linear method • Incremental method • Iterative method • Adaptive method • Extreme method IT Project Management 2
  • 3. • Clarity of goal and solution; General issues 3
  • 4. • Domains increase with unclear goal and solution: – Risk; – Team cohesiveness; – Communications; – Customer involvement; – Lack of specification; – Change. General issues 4
  • 5. • Balancing staff  process  technology: General issues 5
  • 6. • Migration strategy between S, P and T: General issues 6
  • 7. • Migration strategy between S, P and T (cont.): General issues 7
  • 11. • Linear SDPM strategy: – Simplest and most intuitive; – Assumption: Nearly perfect information about goal and solution as can reasonably be expected and not easy to accommodate any deviations. Linear method 11
  • 12. • Incremental SDPM strategy: – First variation of Linear Method, can modify the process to take advantages; – Assumption: • Goal and the solution must both be clearly defined and documented; • Require the complete documentation of requirements, functionality, and features. Incremental method 12
  • 13. • Iterative SDPM strategy: – First departure from the comfortable world of the Linear and Incremental, into the unknown; – Assumption: • Requires a solution that broadly covers the requirements, but might be missing some of the details (missing some depth / features); • Allows for several types of iteration as Not all of the solution is clearly known; • Use of intermediate solutions to discovering the intimate details of the complete solution. Iterative method 13
  • 14. • Adaptive SDPM strategy: – Second step into the unknown; – Assumption: • Encounter where the solution might be totally or partially unknown; • Missing both depth and breadth of the solution (features and functions); • All of the conditions in the Iterative Method applied here (iteration, change to converge to a complete solution, etc. – Limit: More risks, uncertainty and complexity. Adaptive method 14
  • 15. • Extreme SDPM strategy: – First place in Research and Development (R&D) mode; – Assumption: • Goals and solution are not known or not clearly defined, as fuzzily defined; • Process repeats itself over and over again (either the partial solution converges on a satisfactory solution); • No fixed budget or timeline; • Open to a lot of changes. Extreme method 15