Advancing Technology Industrialization Through Intelligent Software Methodologies, Tools and Techniques: Proceedings of the 18th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_19)

✍ Scribed by Hamido Fujita, Ali Selamat

• Publisher: IOS Press
• Year: 2019
• Tongue: English
• Leaves: 770
• Series: Frontiers in Artificial Intelligence and Applications
• Category: Library

✦ Synopsis

Software has become ever more crucial as an enabler, from daily routines to important national decisions. But from time to time, as society adapts to frequent and rapid changes in technology, software development fails to come up to expectations due to issues with efficiency, reliability and security, and with the robustness of methodologies, tools and techniques not keeping pace with the rapidly evolving market. This book presents the proceedings of SoMeT_19, the 18th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, held in Kuching, Malaysia, from 23 25 September 2019. The book explores new trends and theories that highlight the direction and development of software methodologies, tools and techniques, and aims to capture the essence of a new state of the art in software science and its supporting technology, and to identify the challenges that such a technology will have to master. The book also investigates other comparable theories and practices in software science, including emerging technologies, from their computational foundations in terms of models, methodologies, and tools. The 56 papers included here are divided into 5 chapters: Intelligent software systems design and techniques in software engineering; Machine learning techniques for software systems; Requirements engineering, software design and development techniques; Software methodologies, tools and techniques for industry; and Knowledge science and intelligent computing. This comprehensive overview of information systems and research projects will be invaluable to all those whose work involves the assessment and solution of real-world software problems.

✦ Table of Contents

Title Page
Preface
Conference Organization
Contents
Chapter 1. Intelligent Software Systems Design and Techniques in Software Engineering
A Scheme to Classify Skin Through Geographic Distribution of Tonalities Using Fuzzy Based Classification Approach
Auto-Updating Portable Application Model of Multi-Cloud Marketplace Through Bidirectional Transformations System
An Approach for Intelligent Evaluation of the State of Complex Autonomous Objects Based on the Wavelet Analysis
GAAMAAA: Generating Automatically an Adaptive Multiagent System for Ambient Assistive Applications
Applying a Unified Game-Based Model in a Payment Scheduling Problem and Design of Experiments Using MOEA Framework
Emotion Recognition by Convolutional Neural Network Based on EEG-Images Plotting Time Series Data
Comparison of Bat Neural Networks and Bat Optimisation Neural Networks for Rainfall Forecasting: Case Study for Kuching City
Driving Smart Content as Context for System Level Model of Engineering Structure
Multivariate Normal Distribution Based Over-Sampling for Numerical and Categorical Features
Towards Hybrid Intelligence for Logic Error Detection
Missing Rainfall Data Estimation Using Artificial Neural Network and Nearest Neighbor Imputation
Investigation on Data Augmentation for Object Detection Using Deep Neural Network for Traffic Signs Application
Chapter 2. Machine Learning Techniques for Software Systems
The Collaborative Strategy of Multiple USVs with Deep Reinforcement Learning Method
E-Learning BPaaS Discovery in Cloud Based on a Structural Matching
Quantifying Usability Prioritization Using K-Means Clustering Algorithm on Hybrid Metric Features for MAR Learning
A Study of Email Author Identification Using Machine Learning for Business Email Compromise
Improve Student Performance Prediction Using Ensemble Model for Higher Education
Evolutionary Approach for Model Compression of Neural Network Using Support Vector Machine with AND/OR Layers
Clustering Botnet Behavior Using K-Means with Uncertain Data
A Comparative Usability Study Using Hierarchical Agglomerative and K-Means Clustering on Mobile Augmented Reality Interaction Data
Thermal Infrared Ensemble Tracker with an Algorithm Using Kullback-Leibler Divergence
Hate Crime on Twitter: Aspect-Based Sentiment Analysis Approach
An Analysis on Performance of Different Type Classifiers in Handling Big Data Sets
Text Classification of E-Commerce Product via Hidden Markov Model
Chapter 3. Requirements Engineering, Software Design and Development Techniques
Augmented Reality as Learning Tool in Education of Sculpture Arts
Automated Data-Flow Analysis and Validation in Process Automation Projects
Rule-Based Ontology Framework (ROF) for Auto-Generating Requirements Specification: A Case Study
Minimum Initial Marking Estimation in Labeled Petri Nets Using Simulated Annealing
A Planning Algorithm for One-Day Circular Tour Using Public Transport
Requirement Patterns and Its Importance - A Survey
Integrating BPM and Big Data for BP Modeling Adaptability
Game-Based Element Within Rehabilitation Program: Case Study at Community-Based Centers (PDKs in Putrajaya, Malaysia)
User Evaluation on Mobile Application for Shuttle Bus Service
The Design of Quran Memorization Tool Using Low-Fidelity Prototype
ReciPicker: Recipe Recommendation Using Hybrid Filtering for Reducing Food Waste
Refocusing on Cognitive Load Design Through a Meta-Analysis on Learnability, Goal-Based Intentions and Extensibility: Towards Personalized Cognitive-Social-Affective Engagement Among Seniors
Measuring the Performance of Multilayer Perceptron on Car Navigation Simulator: A Comparative Study
Chapter 4. Software Methodologies, Tools and Techniques for Industry
Adoption of Agile by Software Developers in Thailand
Triangulating the Implementation of Hierarchical Agglomerative Clustering on MAR-Learning Usability Data
Usability of a Learning Management System in Interface Comparison
Quality and Sustainability Dimensions Toward Green Software Product: A Review
Development of Rules and Algorithms for Model-Driven Code Generator with UWE Approach
BBCoM Visual Weaver for Model-Driven Software Design
Managing Missing Values in Intuitionistic Reciprocal Preference Relations: From Numeric Procedures to Granular
RANDS: A Machine Learning-Based Anti-Ransomware Tool for Windows Platforms
Formal Transformation from UML Sequence Diagrams to Queueing Petri Nets
Chapter 5. Knowledge Science and Intelligent Computing
A State of the Art of Digital Twin and Simulation Supported by Data Mining in the Healthcare Sector
An Efficient Approach for Selecting Initial Centroid and Outlier Detection of Data Clustering
Quality Measures Collection and Structuring for Assessing and Improving BPMN Models
Building Ontology Profiles with Contextual Elements for Effective and Efficient Movies Recommendation
A Method for Designing the Intelligent System in Learning of Algorithms
IPMLB: A Machine Learning Framework for Indoor Positioning Using Beacons
An Instructional System for Solving Problems in Plane Geometry
PRARS: Risk Assessment Model for Recommender Systems
Conceptual Design for Crowdsourcing Biodiversity Tagging Application
Using Reo Formalism for Compliance Checking of Architecture Evolution with Evolutionary Rules
Subject Index
Author Index