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requirements definition for a systems analysis course mgmt 321

Hello,

Here are the instructions from the instructor on this assignment:

Practical Exercise: Requirements Definition

Overview

Analyzing data on a laptop.Up to this point in the project to develop the new inventory management system, you have been working with a series of practical exercise assignments related to the Planning Phase of the SDLC. Now it is time to begin working on the Analysis Phase.

As you will recall from the previous module, before we can design and create a new information system, system analysts first begin working in the Analysis Phase by determining who the system users will be and how they will use the system.

The first step in ‘solving these riddles’ is to conduct a Requirements Determination process, and then develop a Requirements Definition.

You will use the data that you create in this Requirements Definition activity to create two Casual Format Use Cases in Module 4.

Requirements

Create a Requirements Definition utilizing Microsoft Word. Before you begin to work on this activity, refer to the Requirements Definition example in the textbook.

Select this Requirements Definition Template (DOCX) and fill in the blank sections with hypothetical business data. When you evaluate the various requirements that might be present when developing the inventory management system, consider those that might be related to an aviation-related company.

Submit your Requirements Definition data in a document that addresses the following:

Functional Requirements

  • Functional requirement #1 (TWO or more).
  • Functional requirement #2 (TWO or more).
  • Functional requirement #3 (TWO or more).

Non-Functional Requirements

  • Operational requirements (TWO or more).
  • Performance requirements (TWO or more).
  • Security requirements (TWO or more).
  • Cultural & Political requirements (TWO or more)

Grading Rubic:

MGMT 321 3.2 Practical Exercise Rubric

MGMT 321 3.2 Practical Exercise Rubric

Criteria Ratings Pts

This criterion is linked to a Learning Outcome Deliverable Requirements The percentage of the deliverable(s) that meet the assignment’s requirements.

50.0 pts Excellent

The deliverable(s) met ALL of the assignment’s requirements.

45.0 pts Very Good

The deliverable(s) met MOST of the assignment’s requirements.

40.0 pts Satisfactory

The deliverable(s) met MANY of the assignment’s requirements.

35.0 pts Near Failing

The deliverable(s) met SOME of the assignment’s requirements.

0.0 pts Failing

The deliverable(s) did NOT meet ANY of the assignment’s requirements.

50.0 pts

This criterion is linked to a Learning Outcome Quality of Deliverable(s) The overall quality of the deliverable(s) with regard to the composition and detail.

25.0 pts Excellent

The composition and detail of the deliverable(s) was at a VERY HIGH level.

21.0 pts Very Good

The composition and detail of the deliverable(s) was at a HIGH level.

17.0 pts Satisfactory

The composition and detail of the deliverable(s) was at a MODERATE level.

13.0 pts Near Failing

The composition and detail of the deliverable(s) was at a LOW level.

0.0 pts Failing

The composition and detail of the deliverable(s) was at an UNSATISFACTORY level.

25.0 pts

This criterion is linked to a Learning Outcome Accuracy of the Deliverable(s) The accuracy of the values presented in the deliverable(s).

25.0 pts Excellent

ALL of the data in the deliverable(s) was accurate.

21.0 pts Very Good

MOST of the data in the deliverable(s) was accurate.

17.0 pts Satisfactory

MUCH of the data in the deliverable(s) was accurate.

13.0 pts Near Failing

SOME of the data in the deliverable(s) was accurate.

0.0 pts Failing

NONE of the data in the deliverable(s) was accurate.

25.0 pts

Total Points: 100.0

Template is attached

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