Evaluating agile development models | Computer Science homework help

 

Evaluating Agile Development Models

  

Preparation

There are a number of frameworks that have been used for Agile development and project management. The purpose of this assignment is to discuss how projects are planned and executed in Agile development models, such as  SCRUM, Dynamic Systems Development Model (DSDM), and Adaptive Software Development (ASD). Using real-world examples in your assignment is highly desired. One way to do that is to relate any projects at your workplace or from your research and think about how you, as a project manager, would run the same project under those frameworks.

Instructions

Write a 5–6 page paper in which you:

  1. Analyze the      manner in which projects are planned and executed under the following      frameworks and provide one example for each: SCRUM, DSDM, ASD
  2. Highlight three      benefits and three trade-offs for each of the following frameworks:      SCRUM, DSDM, ASD
  3. Determine the      potential obstacles for using the following frameworks and analyze the      major risks and issues associated with each of      them: SCRUM, DSDM, ASD
  4. Suggest key      strategies from the perspective of a project manager to avoid the      obstacles you identified. Recommend key actions that you can take in order      to mitigate the risks associated with those frameworks. Provide      three real-world examples to support your suggestion.
  5. Use at least      three quality resources in this assignment. Note: Wikipedia and similar websites do not      qualify as quality resources. You may use the resources above or others of      your choosing.

This course requires the use of Strayer Writing Standards. For assistance and information, please refer to the Strayer Writing Standards link in the left-hand menu of your course. Check with your professor for any additional instructions.

The specific course outcome associated with this assignment is:

  • Produce project      results using Agile practices such as high-value increments, continuous      improvement, and problem detection and resolution.
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