Software Reliability with Jumping Finite Automata

· BFC Publications
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Ebook
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About this ebook

This book is related to a research conducted in the field of software engineering, where a discrete model of Automata named as Jumping Finite Automata is being applied for analyzing the software reliability parameter. Issues with the traditional automata model is that it works for a continuous pattern only. So, to handle the discontinuity in the input pattern Jumping Finite Automata is applied. Basically, two approaches are considered for measuring the software reliability which shows some effective results for each approach. Prediction model can be considered under the traditional approach. In this research, the data set is considered for measuring the reliability using the Goel-Okumoto model then the same data set is applied through the FSM(finite state machine) the results that obtained are different. Analyzing those results the FSM is better model as compared to Traditional approach.

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5.0
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About the author

Rahul Kumar Singh is currently Research Scholar in Department of Computer Science and Engineering at Sant Longowal Institute of Engineering and Technology (SLIET), Sangrur, Punjab, India. He obtained his B.Tech degree in Computer Science and Engineering from UPTU (Lucknow) in 2010 and Master of Engineering in Software Engineering from Thapar University, Patiala, Punjab (India). His research interests include sentiment analysis, natural language processing, theoretical computer science and data mining. He may be contacted at [email protected].

Dr. Pardeep Singh is an Assistant Professor (Senior Scale) in School of Computer Science of the University of Petroleum and Energy Studies, Dehradun. He has completed his B.Tech. Computer Engineering from the Kurukshetra University, Kurukshetra, India in 2007, M.Tech. in Computer Science & Engineering from the Punjab Technical University, Jalandhar, India in 2013 and Ph.D. in Computer Science from the Punjabi University, Patiala, India in 2021. He has 14 years of experience in teaching and 6 years of research experience related to Computer Science & Engineering. His research is situated in the field of Heuristic and Meta-heuristic approaches for problem solving, Cloud Computing, Machine Learning, and IoT.

Gurmanpreet Singh Sandhu is experienced Software Developer currently works as Software Engineer at Graymeta Inc in Hong Kong He obtained his B.Tech degree in Computer Science and Engineering from PTU (Jalandhar) in 2013 and Master of Engineering in Software Engineering from Chandigarh University, Mohali, Punjab (India). His research interests include Software Reliability, Theoretical Computer Science and Data Processing. He may be contacted at [email protected].


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