Estimation of the Cocomo Model Parameters Using Genetic Algorithms for RTS Software Projects
G. N. Purohit, Arun Mohan Sherry, Manish Saraswat · Global Journal of Enterprise Information System · 2011
Real time systems have to fulfil real-time requirements, and therefore correct system functionality depends upon reliable and correct implementation of software projects. It is very difficult task to correctly define estimated cost of the project estimated cost, duration and maintenance effort in the software development life cycle (SDLC). Structures of Many models are available in the literature. These model structures consider modeling software effort as a function of the developed line of code (DLOC). Building such a function helps project managers to accurately allocate the available resources for the project. In this paper, two new model structures to estimate the effort required for the development of RTS software projects using Genetic Algorithms (GAs) are discussed. A modified version of the famous COCOMO model is provided to explore the effect of the software development adopted methodology in effort computation. The developed models are able to provide good estimation capabilities.