An Empirical Analysis of Cost Estimation Models on Undergraduate Projects Using COCOMO II

Now a day's software engineering has inclination towards formality. Many formal and mathematical mergers have taken place in theoretical software engineering. Giving mathematical foundation to various aspects of software engineering enhance their practicability and predictability. Cost estimation models like Constructive Cost Model (COCOMO) is one major proven example. COCOMO effort and time calculation is based on mathematical foundations. Several cost drivers having mathematical values also contributed in these calculations. This paper presents a sensitivity analysis using on Constructive Cost Model II (COCOMO II) and their relationships with the projects taken on undergraduate level using web based estimation tool Estimator. The analysis studies the behavior of cost drivers having higher impact on these projects and needs detail understanding and some has low impact. This categorization further used in functional and nonfunctional requirements level. As which nonfunctional requirement need more and detailed understanding at undergraduate study level.