Quality Assurance

I need a paper using this Case Study with the requirements below.

• Case Study B – Data Integration Software Tool: You must build a software tool for a telephone company that enables data to be used by a variety of software applications. The project team consists of an unknown number of personnel for the design, development, building, deployment, and operation and maintenance of the system. The team members may be located around the world, in different time zones.

I need the following:

Quality Assurance

• 5.1 Tools Review

  Consider a situation in which you are asked to review a quality assurance, change control, or process analysis tool developed by a contractor or coworker.

  • What elements or features would you look for to ensure that it satisfies the requirements of a good tool?
  • How would you ensure these elements are included?

  Provide at least one example of a quality assurance, change control, or process analysis tool that is ineffective or deficient in some respect. Provide suggestions for improving it and explain why you think your suggestions would improve the tool.

  5.2 Quality Assurance and Change Control Tools

  Using your choice of software (such as Microsoft Excel, Project, or Visio), develop at least two quality assurance and change control tools appropriate for your project. In selecting your tools, consider your organization’s mission and goals. Explain the relative importance of each tool.

  • Explain the advantages and disadvantages of each tool. Provide support for your analysis.
  • Explain how the tools will be used on your project. Consider their general acceptance and use within the industry.
  • Add project data and information to the tools.

  Note: Microsoft Project and Visio are provided through a Toolwire virtual desktop for your use. Access the software via the Toolwire resources.

  5.3 Process Analysis Tools

  Using your choice of software, develop two process analysis tools appropriate for your project.

  • Explain the advantages and disadvantages of each tool. Identify the most significant advantages and disadvantages, and provide support for your analysis.
  • Explain how the tools will be used on your project. Consider their general acceptance and use within the industry.
  • Add project data and information to the tools.