
Cost Estimate Model for Software Projects using GREYWOLF Algorithm and COCOMO Model
Author(s) -
Kranthi Kumar Dr.G.,
J Satish Babu,
Venkata Naresh Mandhala,
V Gayatri,
Chaitanya Gupta G,
Krishna Vamsi N
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d5395.118419
Subject(s) - cocomo , cost estimate , computer science , use case points , software , estimation , software system , software development , software metric , cost driver , data mining , software quality , software construction , engineering , systems engineering , programming language , marketing , business
Cost estimation analysis for the software system project is the foremost difficult tasks in software organizations. In this paper, a comparison between an estimate and actual effort was done by applying the grey wolf’s algorithm to predict the effort and time of this software system for a given archive. The intermediate semi-detached COCOMO model was used with the grey wolf’s algorithm by taking the KLOC of the dataset as input, additionally to fifteen cost drivers and giving effort and time as output. The recommended model of the cost estimation helps the project manager by offering a fast and truly estimates the hassle and time of software system project which is nearer to the actual cost.