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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.
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- [JavaScript]
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Set-up the project locally
- Clone the repo
git clone https://github.com/zainanizar/COCOMO-Model.git
- 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.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - 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.