• Yogesh Kumar

The consistent and precise effort prediction in software package engineering is a current challenge. There are various methods and technique available of precise effort prediction. In this paper a re-engineering model is proposed based on MODA to measure software development effort. The proposed model is then compared with ANFIS and COCOMO models. From the experimental results, it is concluded that the proposed MODA model has low Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Mean Magnitude of Relative Error (MMRE).

MODA, ANFIS, COCOMO, Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Mean Magnitude of Relative Error (MMRE).

"COMPARATIVE ANALYSIS FOR ESTIMATING DEVELOPMENT EFFORT OF SOFTWARE PROJECTS USING MODA, ANFIS AND COCOMO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.667-674, June-2018, Available :http://www.jetir.org/papers/JETIR1806483.pdf

"COMPARATIVE ANALYSIS FOR ESTIMATING DEVELOPMENT EFFORT OF SOFTWARE PROJECTS USING MODA, ANFIS AND COCOMO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp667-674, June-2018, Available at : http://www.jetir.org/papers/JETIR1806483.pdf