New Trends in Intelligent Software Methodologies, Tools and Techniques

Proceedings of the 22nd International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_23)

H. Fujita, G. Guizzi, Hamido Fujita, Guido Guizzi

• Publisher: SAGE Publications Ltd
• Year: 2023
• Print ISBN: 9781643684307
• eBook ISBN: 9781643684314
• Edition: 1
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Software is an essential enabler for science and the new economy, but current software methodologies, tools, and techniques are often still not sufficiently robust or reliable for the constantly changing and evolving market, and many promising approaches have proved to be no more than case-oriented methods that are not fully automated. This book presents the proceedings of SoMeT_23, the 22nd International Conference on New Trends in Intelligent Software Methodology, Tools, and Techniques, held from 20–22 September 2023 in Naples, Italy. The conference brings together researchers and practitioners to share original research and practical development experience in software science and related new technologies, and is an opportunity for the software-science community to take stock of where they are today and consider future directions. The 25 papers included here were carefully selected from the many high-quality submissions received after a rigorous review process, with each paper typically being reviewed by 3 or 4 reviewers. Topics covered range from research practices, techniques and methodologies to the solutions required by global business. SoMeT_23 focused in particular on intelligent software, the application of artificial intelligence techniques in software development, and tackling human interaction in the development process for better high-level interface, with an emphasis on human-centric software methodologies, end-user development techniques, and emotional reasoning for an optimum performance between design tool and user. Exploring trends, theories, and challenges in the integration of software and science for tomorrow's global information society, the book captures a new state-of-the-art in software science and its supporting technology and will be of interest to all those working in the field.

Table of contents

• Title Page
• Preface
• About the Conference
• Contents
• Bioinformatics Methods for the Identification of Treatment Response Prediction Markers in Pancreatic Cancer
• Identifying New Physiological Functions of Peretinoin from RNA Transcriptome Analysis
• An Automatic Test Plan Generation Approach for Automotive Software Testing
• Mobile Notification Service for Location-Based Situational Planning: Pilot Project and Lessons Learned
• Empirical Observations on Requirements Engineering Practices in Palestine
• Revolutionizing Fan Engagement in the Music Industry with Blockchain Technology
• Aspects of Ranking Algorithms in Multi-Criteria Decision Support Systems
• Science-Industrial Experimental Model on Cloud Platform
• Ultimate of Digital Economy: From Asymmetric Data Economy to Symmetric Knowledge and Wisdom Economy
• Augmented Reality Coupled with Deep Convolution Neural Networks to Enhance Archaeological Sites Experience
• Helping Code Reviewer Prioritize: Pinpointing Personal Data and Its Processing
• Laying Foundations for Connecting Data Stewardship Domain Ontologies
• Towards Quality Assessment of OntoUML Conceptual Models Using RDF and SPARQL
• Securing FIWARE with TEE Technology
• Knowledge of Language and Natural Language Processing
• Optimization Techniques of Deep Learning Models for Visual Quality Improvement
• Machine Learning Could be Easier if All Data Were MNIST
• Enforcing Security Policies Using an Algebraic Approach
• Sustainability in Chemical Production - Multi-Objective Distributed Control
• Multi-Layer Transformer for Video Classification
• Portfolio Optimization for Long-Term Investment: An Empirical Study
• Multi-Agents System for Game Development Through Unreal Engine
• Supply Chain Optimization Through an Ontological Model: Overcoming Information Asymmetry
• Integrated Approach for Maintenance Planning and Scheduling in a Flow Shop Using Deep Reinforcement Learning
• A Literature Review on Applied AI to Public Administration: Insights from Recent Research and Real-Life Examples
• Subject Index
• Author Index