Spring

Self-driving vehicles are one of the most awaited technology of the last century. After the developments in the field of artificial intelligence, the idea of fully autonomous cars are seemed more possible. In this project, our aim was training a model by using deep learning techniques that can drive a car on different roads. We used Convolutional Neural Network (CNN) due to its pattern recognition and feature extraction capabilities. At the end of the project, our trained model can successfully generalize its knowledge and navigates a car on a completely unknown road.

User stories are widely used in agile development settings to capture the needs of several stakeholders. User stories are convenient to create due to low learning curve yet it is difficult to grasp an overview by just looking at a list of user stories. This project aims at using visualization techniques to provide an overview of a set of user stories.

This project involves:

- Identifying meaningful views of user stories

- Defining visual syntax for the aforementioned views

- Building a web-based tool to automatically create the visualizations

The goal of the project is to develop a standalone tool manage sales for small/medium scale enterprises.

The project involves:

• Requirements analysis (will be done at BUKoop)
• Architectural design
• DB design
• UI design
• Testing

User stories are widely used to capture the needs of stakeholders in agile development project due to their concevnience. However, they lack the structure of goal models. This project aims to automatically generate goal models from a set of user stories.

This project involves:

• Extracting requirements from user stories.
• Estanblishing the parent-child relations among requirements
• Determining the AND/OR refinement types
• Understanding other relations among requirements (temporal, conflict, contribution)