May-2025 | ISBN: 978-93-6786-490-6
by: Mr. M. Arul Sankar | Mrs. M. Lavanyaprabha | Dr. M. Kavitha | Ms. T. Kalpana
Overview of the book
Mobile Application Development offers a comprehensive guide to the design, architecture, tools, and frameworks used in creating applications for smartphones, tablets, and other portable devices. It explains the evolution of mobile technology, giving insights into hardware, software, networks, and user interface considerations that shape modern mobile experiences.
The book begins by introducing mobile computing as a dynamic field driven by advancements in device capabilities and wireless communication technologies. It outlines the characteristics of mobile applications, highlighting aspects such as personalization, location-awareness, and connectivity, all of which shape how users interact with apps in their daily lives.
A detailed exploration of mobile platforms is presented, including Android, iOS, BlackBerry, Windows Mobile, and Java ME. It evaluates their respective tools, programming languages, and deployment methods, offering readers a comparative understanding that aids in platform-specific development.
Key mobile development components such as programming languages (Java, Kotlin, Swift), integrated development environments (like Android Studio and Xcode), compilers, emulators, and performance monitors are described. The book explains how these tools contribute to the end-to-end mobile application lifecycle from development to deployment.
In addition to platform-specific tools, the book emphasizes user interface design by discussing visual components, interaction logic, and layout structuring. Readers learn how mobile UIs differ from desktop and web applications, and how to build responsive, accessible, and intuitive experiences for small-screen devices.
The authors offer a detailed look at mobile app architecture, focusing on modular design through presentation, business, and data layers. This layered approach helps developers build maintainable, scalable applications that perform efficiently even in limited-resource environments.
Cross-functional considerations like authentication, authorization, caching, logging, configuration management, communication, and state management are thoroughly covered. These critical topics ensure that applications meet standards for security, reliability, and real-time performance.
The book also highlights the importance of responsive and user-friendly designs. It emphasizes mobile UX strategies that support accessibility, context-awareness, and smooth operation under varying connectivity conditions. Developers are encouraged to adopt practices that enhance usability and engagement.
Further, the content explores technologies like GPRS, CDMA, EDGE, GSM, and 3G/4G/5G networks, offering clarity on how mobile communication infrastructure affects app performance. It provides a technical yet accessible explanation of smart cards, SIMs, hardware layers, and network components.
To prepare readers for real-world scenarios, the book incorporates case studies, diagrams, tool walkthroughs, and code examples. It provides hands-on exposure to mobile databases, threading, Google Maps integration, and sensor-based functionality, empowering learners to build feature-rich applications.
This book is an ideal resource for students, educators, and professionals seeking to deepen their understanding of mobile technologies and app development practices. With its balance of theoretical knowledge and practical implementation, it serves as a foundational text for anyone entering the mobile application development space.
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About the Authors'
Mr. M. Arul Sankar is a renowned academician and research scholar in the field of computer science, with expertise in Computer Networking. He obatained his B.E. degree in Computer Science and Engineeing from RVS College of Engineering and Technology,Dindigul from Anna University in 2007.His career started as a desktop engineer.He received his M.E. degree in Computer Science and Engineeing from RVS College of Engineering and Technology,Dindigul from Anna University in 2013.He is a dedicated research scholar specializing in machine learning, his research focuses on Crop yield Prediction in large datasets .He is pursuing his research as a part-time scholar at Anna University,Chennai.He has published papers in International conferences and referred journals.Currently, serving as a Assistant Professor in the department of Information Technology at Mahendra Engineering College(Autonomous),Namakkal,Tamil Nadu.He was over 12 years of teaching and 4 years of industry experience.He is a life time member of ISTE.
Mrs. M. Lavanyaprabha is a renowned academician and Assistant Professor in the field of computer science, with expertise in .NET Framework. She obtained her B.E. degree in Computer Science and Engineering from Paavai Engineering College, Namakkal from Anna University in 2010.Her career started as an Assistant Professor. She received her M.E. degree in Computer Science and Engineering from Mahendra Institute of Technology, Namakkal from Anna University in 2013. She has published papers in International conferences and referred journals. Currently, serving as an Assistant Professor in the department of Information Technology at Mahendra Engineering College (Autonomous), Namakkal, TamilNadu. He was over 10 years of teaching experience.
Dr. M. Kavitha has received her Ph.D. degree from the Anna University, Chennai, in 2019. She is currently working as an Associate Professor in the Velalar College of Engineering and Technology,Erode. Her research interests include Wireless Sensor Networks, the IoT, machine learning, computer networks and network security. She has more than fourteen years of teaching experience at the engineering college level as a senior lecturer. She has published articles in Scopus indexed journals, guided more number of UG and PG projects in the area of Wireless Sensor Networks, IoT, machine learning, and security.
Ms. T. Kalpana is presently working as an Assistant Professor in the Department of Computer Applications, Kongu Engineering College, Tamil Nadu, India. Her area of interest includes Deep Learning, Data Mining, Image Processing, Pattern Recognition, Big data Analytics, Healthcare Informatics and IoT. She published more than 10 papers and book chapters in various international conference and journals. She is pursuing Ph.D in Anna University. She organized various FDP and DRDO sponsored seminars, training programmes among students from institutions.