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)
1st Edition
Published on 15. September 2019
768 pages
978-1-64368-013-2 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
London
Netherlands
Publishing group
IOS Press
Target group
Professional and scholarly
File size
24,51 MB
ISBN-13
978-1-64368-013-2 (9781643680132)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Hamido Fujita | Ali Selamat
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)
Book
09/2019
1st Edition
IOS Press,US
€187.19
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Content
- Intro
- 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
