Software Cost Estimation Using Cuckoo Search
Sweta Kumari, Shashank Pushkar · Advances in intelligent systems and computing · 2016
One of the important aspects of any software organization is to use models that can accurately estimate the software development effort. However, development of accurate estimation model is still a challenging issue for software engineering research community. This paper proposes a new model for software cost estimation that uses Cuckoo Search (CS) algorithm for finding the optimal parameter of the cost estimation model. The proposed model has been tested on NASA software project datasets. Experimental results show that the proposed model has improved the performance of the estimated effort with respect to MMRE (Mean Magnitude of Relative Error) and PRED (Prediction).