Pradeep Kumar
Maulana Azad National Urdu University
23 Papers
24 Citations
Pradeep Kumar is an academic researcher from Maulana Azad National Urdu University. The author has contributed to research in topics: Software quality & Software. The author has an hindex of 6, co-authored 23 publications. Previous affiliations of Pradeep Kumar include ABES Engineering College & Uttar Pradesh Technical University.
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Papers
Prediction of Software Reliability Using Feed Forward Neural Networks
Yogesh Singh,Pradeep Kumar +1 more
- 30 Dec 2010
TL;DR: The applicability of neural network models for better prediction of reliability in a realistic environment is explored and an assessment method of software reliability growth using connectionist model is presented.
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Application of feed-forward neural networks for software reliability prediction
Yogesh Singh,Pradeep Kumar +1 more
TL;DR: A software reliability prediction model using feed-forward neural network for better reliability prediction through back-propagation algorithm is described and the issues of network architecture and data representation methods are discussed.
34
An empirical study of software reliability prediction using machine learning techniques
Pradeep Kumar,Yogesh Singh +1 more
TL;DR: This paper applies some well-known machine learning methods such as artificial neural networks, support vector machines, cascade correlation neural network, decision trees and fuzzy inference system to predict the reliability of a software product to conclude that proposed approach is more precise in its prediction capacity having better capability of generalization.
30
Performance Analysis of Classification Algorithms in Predicting Diabetes
TL;DR: A comparative evaluation of Naive Bayes, Logistic Regression, Decision tree and Random Forest in the context of Pima Indian Diabetes Dataset in order to predict the diabetic patients is explored.
27
A software reliability growth model for three-tier client server system
Pradeep Kumar,Yogesh Singh +1 more
TL;DR: This paper proposes a NHPP based software reliability growth model for three-tier client server systems that has been validated through standard dataset consists of software failure data on various projects released from the software reliability dataset and applying to a live commercial application.