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Présentation Mobile Application Development: Practice And Experience Format Broché
- Livre Technologie
Résumé :
The book constitutes proceedings of the 12th Industry Symposium held in conjunction with the 18th edition of the International Conference on Distributed Computing and Intelligent Technology (ICDCIT 2022). The focus of the industry symposium is on Mobile Application Development: Practice and Experience. This book focuses on software engineering research and practice supporting any aspects of mobile application development. The book discusses findings in the areas of mobile application analysis, models for generating these applications, testing, debugging & repair, localization & globalization, app review analytics, app store mining, app beyond smartphones and tablets, app deployment, maintenance, and reliability of apps, industrial case studies of automated software engineering for mobile apps, etc. Papers included in the book describe new or improved ways to handle these aspects or address them in a more unified manner, discussing benefits, limitations, and costs of provided solutions. The volume will be useful for master, research students as well as industry professionals.
Biographie: Jagannath Singh is an Associate Professor in the School of Computer Engineering at Kalinga Institute of Industrial Technology, Bhubaneswar, India. He received his Ph.D. and M.Tech. degrees from the National Institute of Technology (NIT) Rourkela, India, in 2016 and 2012, respectively. He has published several research articles in reputed conferences and journals. His research interest includes software engineering, artificial neural networks, and machine learning. He is guiding three full-time Ph.D. students.
Lov Kumar is an assistant professor in the Department of Computer Science and Information Systems, BITS Pilani, Hyderabad. He received his Ph.D. in Computer Science and Engineering from the National Institute of Technology (NIT) Rourkela. His current research interests are in the area of mining software repositories, machine learning, text analysis, testing of AI systems, software analytics, and social media analytics. He has delivered over 25 invited talks and published over 50 refereed publications in international conferences and journals, and two book chapters.
Aneesh Krishna is an associate professor with the School of Electrical Engineering, Computing, and Mathematical Sciences, Curtin University, Australia. He holds a Ph.D. in computer science from the University of Wollongong, Australia. He was a lecturer in software engineering at the School of Computer Science and Software Engineering, University of Wollongong, Australia. His research interests include AI for software engineering, model-driven development/evolution, requirements engineering, agent systems, formal methods, data mining, computer vision, machine learning, bioinformatics, and renewable energy systems. He has published more than 130 articles in reputed journals and international conferences. His research is (or has been) funded by theAustralian Research Council (ARC), and various Australian government agencies (like NSW State Emergency Service) as well as companies such as Woodside Energy, Amristar Solutions, and Autism West Incorporated.
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