Mobile Application Development
Lov Kumar, Aneesh Krishna, Jagannath Singh, Debasish Das
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Add to basket: Este libro profundiza en el desarrollo de aplicaciones móviles, explorando tanto la práctica como la experiencia en el campo. Cubre temas relevantes presentados en el 12º Simposio de la Industria en conjunto con el 18º ICDCIT 2022, ofreciendo una visión completa y actualizada del desarrollo de aplicaciones móviles. EAN: 9789811968952 Tipo: Libros Categoría: Tecnología Título: Mobile Application Development Autor: Lov Kumar| Aneesh Krishna| Jagannath Singh| Debasish Das Editorial: Springer Idioma: en Páginas: 165.
Seller Inventory # Happ-2025-12-04-b0652aa1
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.
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.
Debasish Das has over 17 years of experience in product engineering, software systems, cyber security, industrial IoT & quality management focusing on research & innovation, strategy, leadership & management. He has worked in interdisciplinary fields of design, architecture, performance engineering, application security, QA & automation along with business development & consulting. He’s a founding member of TCS Video Engineering & Analytics Lab. As an enterprise architect, he is currently working as a core member of TCS Enterprise Vulnerability Management CoE. Debasish completed his M.Tech from BITS Pilani. His research area focuses on emerging cyber security paradigms e.g. malware resiliency, cyber risk, and intelligent vulnerability remediation systems. He also focuses on video engineering R&D for next-gen ecosystems using 5G, edge computing, and industrial IoT. Over the years, he has filed multiple patents, developed innovative platforms, organized tech events, and won multiple innovation awards for his research works which have been published in journals of national and international repute."About this title" may belong to another edition of this title.
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