In this assignment, you will utilize AI-powered tools to generate an estimate for the given case study. Once the initial estimate is generated, you will analyze it for accuracy, quality, and inherent risks. Subsequently, you will improve the estimate iteratively through additional AI prompts and manual adjustments. Next, based on the estimate you got, you will manually create a WBS for this case study. Finally, using any AI tool of your choice, create a schedule for a team to follow based on created WBS. This assignment aims to enhance your understanding of software estimation and scheduling processes, the role of AI in estimation and scheduling, and the importance of continuous improvement in software development.

Case Study

Problem Description
Trade shows have become an important information source for new products, new fashion, and new fabrics. In addition to the large providers of outdoor clothing and fabrics, there are many smaller providers. It is important for an Outfitter Company to capture information about these suppliers while trade show is in progress. It is also important to obtain information about specific merchandise products that company plans to purchase. Additionally, if quality photographs of the products can be obtained while at trade show, then the creation of online product page is greatly facilitated. It is recommended that a new system be developed and deployed so field purchasing agents can communicate more rapidly with the home office about suppliers and specific products of interest. This system should be deployed on portable equipment. It should be able to function as a standalone without connection and can also be used to transmit data over internet and phone.

Questions

  1. Using AI tools of your choice, create an initial estimate for this proposed system. Document the prompts or instructions used to generate the estimate.
  2. Next, analyze it for accuracy, quality (clarity/ease of understanding), and inherent risks (identify and discuss potential risks or bottlenecks)
  3. Improve the estimate iteratively through additional AI prompts and manual adjustments. Document this process as well.
  4. Create a WBS for this proposed system.
  5. Finally, using AI tools of your choice, create a schedule for a team to follow based on WBS. Document the prompts or instructions used to generate the schedule.

Submission Guidelines and Grading

Submit a single document containing the following:
  1. The initial estimate and prompts and instruction to generate estimate. ( 10 Points)
  2. Summary reports with 2-3 paragraphs for each of the individual analysis stages. ( 10 Points)
  3. Documentation of manual adjustments and AI prompts used and their output to improve the estimate. ( 10 Points)
  4. WBS (10 Points)
  5. Final schedule and prompts or instructions used to generate the schedule. ( 10 points)