Mukesh Bansal - Academia.edu (original) (raw)

Mukesh Bansal

Stefan Florea related author profile picture

Pradeep kumar Bhatia related author profile picture

Abdulrahman baqais related author profile picture

anuradha chug related author profile picture

Emília Mendes related author profile picture

Abdulrahman Baqais related author profile picture

Mahmoud Elish related author profile picture

Dr. N. BASKAR MECH related author profile picture

IJCT Editor related author profile picture

Santanu Rath related author profile picture

Uploads

Papers by Mukesh Bansal

Research paper thumbnail of Jaya Algorithm and Artificial Neural Network Based Approach for Object- Oriented Software Quality Analysis

International Journal of Intelligent Engineering and Systems, 2018

This paper develops a technique by using Jaya algorithm and feed-forward neural network to determ... more This paper develops a technique by using Jaya algorithm and feed-forward neural network to determine the quality of object-oriented software by using Chidamber & Kemerer (CK) along with Li & Henry metrics. The technique basically focuses on the maintainability factor of software quality which in turn depends upon the software complexity. The software complexity is directly proportional to the number of changes done per class which is determined by the technique. The analysis has been done on UIMS (User Interface Management System) and QUES (Quality Evaluation System) datasets by using the mean absolute error as the analysis parameter. The reduction in the mean absolute error as compared to the existing state of art techniques along with the individual component of proposed technique proves the significance of the technique.

Research paper thumbnail of Jaya Algorithm and Artificial Neural Network Based Approach for Object- Oriented Software Quality Analysis

International Journal of Intelligent Engineering and Systems, 2018

This paper develops a technique by using Jaya algorithm and feed-forward neural network to determ... more This paper develops a technique by using Jaya algorithm and feed-forward neural network to determine the quality of object-oriented software by using Chidamber & Kemerer (CK) along with Li & Henry metrics. The technique basically focuses on the maintainability factor of software quality which in turn depends upon the software complexity. The software complexity is directly proportional to the number of changes done per class which is determined by the technique. The analysis has been done on UIMS (User Interface Management System) and QUES (Quality Evaluation System) datasets by using the mean absolute error as the analysis parameter. The reduction in the mean absolute error as compared to the existing state of art techniques along with the individual component of proposed technique proves the significance of the technique.

Log In