The project aims to develop a hybrid model for effort estimation which is more suitable than the existing algorithms. The algorithm explored is based on Boehm’s COCOMO Model (Cost Constructive Model). To validate the hybrid model, a cross-validation method must be utilized. Using different datasets, we test the model’s performance. Failing to do this risks making a claim about the performance that will not generalise well to the actual performance in the real world.

• [HTML]
• [CSS]
• [JavaScript]
• [React]

Set-up the project locally

1. Clone the repo

   git clone https://github.com/zainanizar/COCOMO-Model.git

2. No further installation required

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

• Zaina Jaffaree Nizar 19BCE2388
• Diya Pal 19BCE0120
• Pragati Bhattad 19BCE2671
• Bharath Reddy 19BCE0854

• We are thankful to Prof. Arun Kumar S for helping and guiding us through the Project.