Jezreel M. New Challenges in Software Engineering Vol 1. 2025

Download this torrent!

Jezreel M. New Challenges in Software Engineering Vol 1. 2025

Textbook in PDF format This book explores the key challenges shaping the future of software development, including automation, AI-driven development, security-focused engineering, resilient and autonomous architectures, business process optimization, cloud computing, microservices, high-performance distributed systems, and sustainable technologies. Software engineering is undergoing a constant transformation, driven by rapid technological advances and evolving market demands. Additionally, it delves into the ethical considerations of AI, the evolution of intuitive user interfaces, and the importance of multidisciplinary collaboration. Software engineering is facing a constant evolution driven by technological advances and changes in market and global needs. Today, professionals, academics, researchers, and companies in this discipline must face new challenges ranging from the growing complexity of applications to the integration of new areas of knowledge, as well as emerging technologies. Therefore, Software Engineering has had to adapt to an increasingly dynamic and challenging environment. Some key challenges towards which software engineering must evolve: Automation: Given the complexity of applications and the need to accelerate delivery times, code automation tools (such as AI code generators) and the use of AI for automated testing, debugging, and optimization will allow developers to focus more on business logic and less on repetitive, mechanical tasks. AI-driven development: Artificial intelligence will drive the development process, suggesting code snippets, design patterns, and optimizing the workflow. Security-Driven Development: Taking proactive approaches to identifying vulnerabilities, using both frameworks and tools to avoid insecure or flawed code. Resilient Architectures: Distributed architectures and microservices that are self-healing and fault-tolerant that not only respond to hardware failures or human errors but can also quickly recover from cyberattacks or unforeseen failures. Autonomous software: Systems that not only respond to predetermined inputs, but also learn and adapt to their environments and users. Business process optimization: Software engineers will also be able to integrate machine learning algorithms to optimize business processes, from decision-making to automating complex workflows. Cloud Development and Distributed Computing: Cloud computing, especially with the emergence of serverless architectures and microservices, will become even more crucial. Developers will need to design software that can run in distributed environments with high availability and scalability. Microservices Architectures: Mass adoption of microservices to break down monolithic applications and enable more agile and scalable development. High-Performance Distributed Computing: Using technologies such as Edge Computing and Quantum Computing, software will be designed to run efficiently in distributed environments and with the ability to adapt to new emerging infrastructures. Sustainable technologies: Climate change is a reality; software engineers must design applications that are more resource-efficient and can operate on more sustainable infrastructures. Software ethics: Software engineers will need to address ethical issues related to AI, personal data processing, and autonomous decision-making by automated systems, ensuring that software is transparent, fair, and non-discriminatory. Multidisciplinary Collaboration: The integration of designers, psychologists, ethicists, and data analysts with software engineers will be essential to create solutions that are technically sound and also address human and societal needs in a comprehensive manner. The chapters in this book are grouped according to the approaches and contributions that highlight the New Challenges in Software Engineering