The greatest achievement of our project in our topic of research was the sigmoidal curve and accurate model that we were able to create. Though this is a simplified graph of the growth of cancerous cells, it was suitable to use for our fairly basic program. It was important to realize that we were trying to model our cancer cells in a natural environment, so there were limited amounts of space and nutrients to foster the growth of our cancer cells. We had to approximate and simplify before we could try to even come close to mimicking the natural environment of the body in our computer program. Nonetheless, the program functioned correctly which was a big feet to ensure.
When we look at the biggest achievement of the project in terms of computer science, it would probably the method in which the program was created so it could easily incorporate more features and the algorithm which the application utilized. When creating the program, the code was highly modularized. This allowed for easy reading of the code and also for easy expansion. When someone decides that they would like to expand on our model, all they have to do is edit the probability procedure and change the probability counter or add procedures and variables to the class that represent different factors. In a model like this where the number of involved factors is based on the time the programmer have, an approach such as the one we took is very important.
The second achievement of the program in computer science is the algorithm used. The simple sweep method is easy to understand and is still efficient in producing the needed results. This algorithm that we used is very important and effective.
