Rapid software industry growth has brought significant technological advancement and a great deal of environmental concerns regarding energy consumption, resource usage, and carbon emissions. The area of sustainable software development practices has emerged in recent decades as an important one for addressing these environmental concerns. This research project explores how sustainability principles can be integrated into the Software Development Lifecycle (SDLC), focusing on energy-efficient coding techniques, sustainable architecture patterns, and resource optimization during deployment and maintenance. The Green SDLC model proposed herein outlines a structured approach for reducing the ecological footprint of software systems without sacrificing performance and scalability. Using a combination of literature review, practical experimentation, and case study analysis, this research identifies influential methodologies that developers and organizations can implement to reduce their software’s environmental impact. Experiments utilizing tools such as GreenMeter and Joulemeter to measure energy consumption and resource efficiency across different software implementations. Case studies conducted by industry leaders such as Google and Spotify further demonstrate the feasibility and benefits of sustainable software practices in reducing energy consumption and carbon dioxide emissions. The findings of this project prove that sustainable software development is shaping the future of the tech industry by promoting greener and more energy-efficient solutions for software development. Green SDLC guides developers in shaping their contributions to a sustainable digital future; technological progress will be brought together with environmental care. Further research is recommended to unify sustainability metrics and investigate recent technologies, such as artificial intelligence (AI) and blockchain, for enhancing sustainability in software development. Keywords: software development, Green SDLC, resource optimization, software sustainability, energy-efficiency coding.
Ananya Kamboj (Mon,) studied this question.