Mobile Application Development: Practice and Experience: 12th Industry Symposium in Conjunction with 18th ICDCIT 2022

Preface
Acknowledgements
Contents
About the Editors
A Survey on Mobile Application Development Models
	1 Introduction
	2 Literature Survey
	3 Mobile Application Development Models
	4 Comparison of Different Development Models
	5 Software Development Methodologies
	6 Conclusion
	References
Mobile Technology for Smart Agriculture: Deployment Case for Pearl Millet Disease Detection
	1 Introduction
	2 Importance of Computer Technology in Agriculture
	3 Different Mobile App for Smart Farming in India
		3.1 Digital India Program
		3.2 Kisan Suvidha
		3.3 IFFCO Kisan Agriculture
		3.4 RML Farmer-Krishi Mitr
		3.5 Pusa Krishi
		3.6 Agri App
		3.7 Crop Insurance
		3.8 Agri Market
	4 Structure of Android APP Deployment
	5 Mobile Deployment for Leaf Disease Detection in Pearl Millet Crop
		5.1 Android Project Structure
	6 Conclusion
	References
Energy Consumption-Based Profiling  of Android Apps
	1 Introduction
	2 Basic Concepts
		2.1 Eclipse
		2.2 DEX to JAR Convertor
		2.3 Bytecode Viewer
	3 Related Work
	4 Proposed Work
	5 Experimental Setup and Methodology
		5.1 Addition
		5.2 Intent
	6 Methodology
		6.1 Formula Derivation
		6.2 Intent
		6.3 Additions
	7 Tools Used
		7.1 Eclipse
		7.2 BYTECODE Viewer
	8 Conclusion and Limitations
	References
Impact of COVID-19 on IT Business
	1 Introduction
		1.1 COVID-19 in India
		1.2 Indian IT Industry
		1.3 Current Challenges for IT Industries [4]
	2 Data Collection
	3 Result of the Survey
	4 Methodology
	5 Result of Classification
	6 Conclusion
	References
ANNDroid: A Framework for Android Malware Detection Using Feature Selection Techniques and Machine Learning Algorithms
	1 Introduction
	2 Related Work
	3 Collection of .apk Files and Formulation of Features Dataset
	4 Feature Selection Techniques
		4.1 Principal Component Analysis (PCA)
		4.2 Rough Set Theory
	5 Proposed Hybrid Machine Learning Techniques
		5.1 Functional Link Artificial Neural Network (FLANN)
		5.2 FLANN-Genetic (FGA) Technique
		5.3 Adaptive FLANN-Genetic (AFGA) Technique
		5.4 FLANN Particle Swarm Optimization (FPSO) Technique
		5.5 FLANN-Clonal Selection Algorithm (FCSA) Approach
		5.6 Modified-FLANN Particle Swarm Optimization (MFPSO) Technique
	6 Experimental Setup
	7 Outcomes
		7.1 Feature Selection Approaches
		7.2 Machine Learning Approaches
		7.3 Comparison with Existing Developed Frameworks
	8 Conclusion
	References
DanVeer: A Secure Resource Funding Mobile Application
	1 Introduction
	2 Motivation
	3 Literature Survey
	4 About the DanVeer Application
	5 Flowchart of the Application
	6 Algorithm
	7 App Screenshots
	8 Application Code
	9 Architecture for Generating Applications
		9.1 Model View Controller (MVC) and Model View Presenter (MVP)
		9.2 Model View ViewModel (MVVM)
	10 App Debugging and Testing
	11 App Review and Analytics
		11.1 App Beyond Smartphones and Tablets
		11.2 App Migration Across Platforms
		11.3 Maintenance of Apps
		11.4 App Security and Privacy
	12 Conclusion
	References
Mobile Data Analytics: A Comprehensive Case Study
	1 Introduction
	2 Mobile Analytics
	3 Importance
	4 Comparison with Web Analytics
	5 Metrics Considered for Mobile Application Versus Website
	6 Case Studies Suggesting Benefit of Mobile Analytics
		6.1 Game Case Study: Pokémon Go
		6.2 Utility Case Study: Gboard
	7 Existing Tools
	8 Benefits, Challenges and Limitations
		8.1 Benefits of Mobile Analytics
		8.2 Challenges in Mobile Analytics
		8.3 Limitations in Mobile Analytics
	9 Conclusion
	References
Method Level Refactoring Prediction by Weighted-SVM Machine Learning Classifier
	1 Introduction
	2 Literature Survey
	3 Background Study
		3.1 Refactoring
		3.2 Feature Extraction and Selection
		3.3 Classification Techniques: SMOTE with SVM and Weighted-SVM
	4 Proposed Methodology
	5 Comparative Analysis
		5.1 Classifier's Significance
		5.2 Kernel's Significance
	6 Conclusion
	References
OCEANDROID
	1 Introduction
	2 Literature Review
	3 OCEANDROID Application
		3.1 Materials/Tools Required
		3.2 Results
		3.3 Implications
	4 Conclusion
	References
Innovation Propensity of Firms and the Interplay of Institutional Ecosystem—A Longitudinal Study from G-20 Middle-Income Countries
	1 Introduction
	2 Literature Review
	3 Research Question and Hypotheses Formulation
	4 Research Methodology
	5 Dependent and Independent Variables
	6 Data Collection
	7 Analysis and Discussion
	8 Regression Modeling
	9 Regression Execution: Tests for Normality, Multi-collinearity and Auto-correlation
	10 Results and Discussion
	11 Academic and Managerial Implications
	12 Limitations and Future Research Directions
	13 Conclusion
	References
Unique and Secure Account Management System Using CNN  and Blockchain Technology
	1 Introduction
	2 Literature Survey
	3 Proposed System
		3.1 Front-End Account Creation
		3.2 Face Recognition Model
		3.3 Blockchain Storage
	4 Implementation and Validation
		4.1 Blockchain Module
		4.2 Face Recognition Module
	5 Result
		5.1 Blockchain Module
		5.2 Face Recognition Module
	6 Conclusion
	References
Model for Mobile App-Based Premium Calculation for Usage-Based Insurance (UBI) of Vehicles
	1 Introduction
		1.1 Artificial Intelligence
		1.2 IOT and Robotics
	2 Literature Survey
	3 Research Gap
	4 Objective
	5 Conceptual Diagram
	6 Conclusion
	7 Important Points
	References
Web Service Anti-patterns Detection Using CNN with Varying Sequence Padding Size
	1 Introduction
	2 Objectives and Research Questions
	3 Related Work
	4 Experimental Setup
		4.1 Experimental Dataset
	5 Proposed Methodology
	6 Experimental Outcome
		6.1 Data Sampling Techniques
		6.2 Word Embedding with CNN
	7 Competitive Analysis
	8 Threats to Validity
	9 Conclusion and Future Scope
	References