Estimation of the Cocomo Model Parameters Using Genetic Algorithms for RTS Software Projects

  • G.N Purohit Emeritus Professor, Dept. of Mathematics & Computer Science, Banasthali University, Banasthali
  • A.M Sherry Professor & Director (IMT-CDL) Institute of Management & Technology, Ghaziabad, (U.P)
  • Manish Saraswat Assistant Professor, Department of MCA, Geetanjali Institute of Technical Studies, Udaipur, (Raj.)
Keywords: COCOMO Model Real Time Systems (RTS), Genetic Algorithms Genetic Programming Technique

Abstract

Real time systems have to fulfil real 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 developm 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 ab to provide good estimation capabilities.

Published
2020-07-11
How to Cite
G.N Purohit, A.M Sherry, & Manish Saraswat. (2020). Estimation of the Cocomo Model Parameters Using Genetic Algorithms for RTS Software Projects. Global Journal of Enterprise Information System, 3(3), 28-35. Retrieved from https://gjeis.com/index.php/GJEIS/article/view/538
Issue
Vol. 3 No. 3 (2011): EIS Empowers People To Be Productive
Section
Empirical Research Papers

Share |