دانلود کتاب مهندسی نرم‌افزار سبز برای مدیریت پروژه‌های تجاری

The intersection of sustainability and software engineering is no longer a distant frontier — it is a pressing, present- day imperative. As digital systems continue to shape every facet of business and society, the environmental and ethical footprint of these systems demands our immediate attention. Green software engineering is not simply a technical aspiration; it is a business necessity, a policy concern, and an ethical commitment. This book, Green Software Engineering for Business Project Management, was born from the recognition that traditional approaches to software delivery and project governance must evolve. We are witnessing a paradigm shift — one where highperforming digital solutions are expected to meet not just functional and economic benchmarks, but environmental and social ones as well. In assembling this volume, my goal as Editor has been to bring together diverse perspectives — from researchers, practitioners, and policymakers — to offer a structured and holistic view of how sustainability can be woven into the fabric of both software engineering and business project management. This is not merely about energy- efficient code or green data centers; it is about redefining how we think, plan, and act in the digital development lifecycle. The chapters herein reflect a cross- disciplinary synthesis. You will find practical methodologies alongside theoretical frameworks, real- world case studies beside forward- thinking models, and clear links between ESG (Environmental, Social, and Governance) priorities and day- to- day project management practices. Collectively, these contributions aim to equip professionals, scholars, and leaders with the tools to build software systems that are sustainable by design — not as an afterthought, but as a foundational principle. This book is intended for a broad audience: from software engineers and project managers to ESG consultants, academic researchers, and policy shapers. Regardless of your vantage point, I hope this work supports your efforts to make responsible choices in technology development — choices that balance innovation with stewardship, performance with purpose. As Editor, I am deeply grateful to the contributors who shared their expertise and vision, and to the readers who will carry this dialogue forward. The path to sustainable software is both a challenge and an opportunity — and it begins with informed, intentional action. Let this volume be a guide, a reference, and, above all, a catalyst for change. This volume brings together sixteen chapters that reflect the diverse and rapidly evolving landscape of green software engineering and sustainable project management. Each chapter contributes a unique perspective on how sustainability can be meaningfully integrated into the digital lifecycle — from research and infrastructure to practical implementation and policy alignment. Below is a thematic overview of the chapters in this book. We begin with Chapter 1, which sets a foundational context through a bibliometric analysis of sustainability research trends in relation to Sustainable Development Goal 9 (Industry, Innovation, and Infrastructure). This chapter maps the academic terrain using SCOPUS data, identifying key contributors, global hotspots, and evolving research patterns. It offers readers a panoramic view of how green initiatives have been explored and where intellectual gaps remain. Chapter 2 continues this data- driven lens by analyzing the trajectory of soft robotics research. Using a bibliometric framework, the authors track the field’s exponential growth and its sustainability implications, particularly in terms of materials innovation and energy efficiency. This chapter underscores how emerging technologies can align with eco- conscious innovation. Chapters 3 and 4 shift the focus to the application of circular economy principles in software lifecycle management. Chapter 3 provides a conceptual grounding, making the case for designing software with longevity and adaptability in mind — mirroring principles long applied in sustainable manufacturing. Chapter 4 builds on this by incorporating empirical analysis, using expert feedback and advanced machine learning models to predict software usage patterns and optimize lifecycle planning. In Chapter 5, the discussion moves into the realm of carbon accountability, analyzing how software systems contribute to greenhouse gas emissions. This chapter is instrumental in shifting sustainability metrics from infrastructure alone to include software as a significant player in environmental impact. Chapter 6 presents a compelling case for embedding sustainability directly into project management methodologies. It introduces the Green Project Management (GPM) framework and proposes the role of a Green Project Lead (GPL) — a professional responsible for championing environmental goals within project teams. By redefining Agile, DevOps, and PM2 through a green lens, this chapter bridges software engineering with operational governance. Chapter 7 takes us deeper into the infrastructure layer, exploring how cloud computing performance can be optimized using green strategies. Employing hybrid models of AI, geospatial data, and environmental analytics, it provides actionable insights into reducing energy consumption while maintaining scalability and reliability. Chapter 8 offers a comprehensive exploration of green software engineering (GSE) practices, with an applied case study in the healthcare sector. This chapter serves as both a theoretical and practical guide, covering metrics, lifecycle considerations, programming practices, and project integration, making it an essential resource for those seeking a full- spectrum view of GSE in real- time systems. In Chapter 9, the focus returns to governance — this time through the lens of ESG (Environmental, Social, and Governance) principles. The chapter introduces strategic integration tools that ensure projects adhere to sustainability commitments, manage risks, and engage stakeholders meaningfully across the lifecycle. Chapter 10 explores the evolving regulatory landscape for green software. It deciphers international standards like ISO 14001 and IEEE 1680, as well as frameworks such as the EU Green Deal, offering practical guidance for compliance, reporting, and embedding regulation into Agile and DevOps workflows. Chapter 11 introduces geospatial intelligence as a tool for ESG compliance and sustainability reporting. From real- time dashboards to risk mapping, the chapter highlights how spatial data technologies can offer transparency, efficiency, and operational resilience in environmental monitoring and decision- making. Chapter 12 explores the ethical dimensions of artificial intelligence, particularly in relation to environmental sustainability. Through advanced modeling techniques, it addresses how biases, transparency, and carbon footprints must be evaluated together to ensure AI systems are both responsible and sustainable. Finally, Chapter 13, the use of large language models (LLMs) is explored as a transformative approach to software requirements selection. The chapter investigates how these models can improve accuracy, scalability, and explainability in the early stages of software development while maintaining alignment with sustainable design principles. Together, these chapters form a multi- dimensional resource — academic, applied, and policy- relevant — that reflects the complexity and urgency of engineering green software systems and managing them responsibly. From abstract theory to tangible frameworks, this book is a call to action for technology professionals, researchers, and decision- makers who aim to align digital transformation with ecological integrity and ethical responsibility.