TY  - JOUR
T1  - Estimation of Software Quality based on Software Metrics Using
Modified Cuckoo Search Optimization Algorithm
AU - Suganthi, V. AU - Duraisamy, S. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 20
SP  - 4063
EP  - 4070
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.4063.4070
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.4063.4070
KW  - Software metrics
KW  -software quality
KW  -reliability
KW  -popularity
KW  -cost
KW  -modified cuckoo search
AB  - Software metrics is considered as the major criterion as it directly depends on the software quality. The intensity with which developed software remains efficient with its purpose, determines its quality. In recent years, the software development with the major consideration being its quality has become an important research area. The increased use of software system in various technologies has led to vast development in the field of delivering efficient software with higher quality and reliability. In order to develop better quality software, we have considered software metrics like popularity, reliability and computational cost. Initially the test cases are generated and then the software metrics are calculated as features. Those features are optimized using Modified Cuckoo Search algorithm (MCS). The optimization is done in order to obtain completely relevant software metrics that suits our development process. Finally, the optimized result will be evaluated by software quality measure. The proposed method uses the reliability for the quality measure. The reliability can help us in verifying the quality of the particular software that has been developed.
ER  -