Pradeep Kumar

Pradeep Kumar is an Associate Professor in the Department of Computer Science & Information Technology at Maulana Azad National Urdu University, Hyderabad, India. He received his Master’s degree in Computer Technology and Applications from Delhi Technological University, formerly Delhi College of Engineering, Delhi University. He completed his Ph.D. from the University School of Information & Communication Technology (USICT), Guru Gobind Singh Indraprastha University (GGSIPU), Delhi. His research interests include software reliability engineering, models for software metrics, machine learning, neural network modeling and soft computing. He has more than 25 publications in journals of international repute including national journals, conferences and proceedings of the international conferences. He is a Member of Association for Computing Machines (ACM), India, Member of Computer Science Teachers Association (CSTA), USA, Senior Member of International Association of Engineers (IAENG), Member of International Association of Computer Science and Information Technology (IACSIT), Singapore and Senior member of Universal Association of Computer and Electronics Engineers (UACEE). He is a member of editorial board for various national and international journals in the field of software engineering and program committee member/reviewer for several international conferences.

Publications

Investigation of Software Reliability Prediction Using Statistical and Machine Learning Methods
Investigation of Software Reliability Prediction Using Statistical and Machine Learning Methods
Pradeep Kumar, Abdul Wahid. © 2020. 21 pages.
Software reliability is a statistical measure of how well software operates with respect to its requirements. There are two related software engineering research issues about...
Ubiquitous Machine Learning and Its Applications
Ubiquitous Machine Learning and Its Applications
Pradeep Kumar, Arvind Tiwari. © 2017. 259 pages.
Constant improvements in technological applications have allowed for more opportunities to develop automated systems. This not only leads to higher success in smart data...
Application of Machine Learning Techniques for Software Reliability Prediction (SRP)
Application of Machine Learning Techniques for Software Reliability Prediction (SRP)
Pradeep Kumar. © 2017. 30 pages.
Software reliability is a statistical measure of how well software operates with respect to its requirements. There are two related software engineering research issues about...
Conclusion
Conclusion
Pradeep Kumar. © 2017. 13 pages.
This chapter summarize and concludes the issues and challenges elaborated in different chapters using machine learning approaches presented by various authors. It identifies the...
Investigation of Software Reliability Prediction Using Statistical and Machine Learning Methods
Investigation of Software Reliability Prediction Using Statistical and Machine Learning Methods
Pradeep Kumar, Abdul Wahid. © 2017. 21 pages.
Software reliability is a statistical measure of how well software operates with respect to its requirements. There are two related software engineering research issues about...