We would like to kindly invite you to submit your work to the Special Issue on “Green and Sustainable Software” of the Automated Software Engineering journal.

Submission deadline: 15 July 2026

For any questions, do not hesitate to ask us.

Best Regards,

Rick, Karthik, and Elisa

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Special Issue: Green and Sustainable Software

https://link.springer.com/collections/jjcbchfbhf
Automated Software Engineering Journal (Impact factor = 3.1)

The engineering of green software-intensive systems is critical in our drive towards a sustainable, smarter planet. The goal of green software engineering is to apply green principles to the design and operation of software-intensive systems. Green and self-greening software systems have tremendous potential to decrease energy consumption. Moreover, software can and should be re-thought to address sustainability issues using innovative business models, processes, and incentives. Monitoring and measuring the greenness of software is critical towards the notion of sustainable and green software. Demonstrating improvement is paramount for users to achieve and effect change. Analysis of the sustainability of a specific software system requires software that aids developers in weighing the four dimensions of sustainability—economic, social, environmental, and technical—with their attendant trade-offs. The software engineering community must assume leadership in this important challenge.

In this Special Issue, we will explore the theme of “green software engineering for software sustainability” with a goal towards creating actionable outcomes that will affect how software engineering is practiced and taught in the future, in order to help organizations prioritize their sustainability objectives.

Topics:

• Energy-efficient choices for architecture and design patterns, algorithms, data structures, programming languages, language runtime and infrastructure.
• Architectural implications (architectural tactics, architectural styles, design patterns and anti-patterns) for green and sustainable software
• Practices for sustainability-aware software engineering
• Metrics and measures for sustainability-aware software engineering
• Sustainability-aware architectures in context (e.g., cloud-edge continuum)
• Teaching and training of skills and competencies in sustainability-aware software engineering
• Sustainable computing from a software engineering and software-intensive system perspective
• Applied, or experimented with, software engineering methodologies at all levels (from requirements elicitation to architecture design, coding, testing, and maintenance)
• Meta-analyses, and syntheses of studies to build theories on green and sustainable software; conceptual reflections related to software sustainability
• Progress on the various dimensions of software sustainability and their interplay
• Software adaptation for sustainability
• Tools to support sustainability-aware decision-making
• Sustainability of emerging computing technologies (AI systems, edge devices, generative AI-enabled applications)
• Green AI, lighter, less data-intensive, and less energy-consuming AI models and architectures
• Sustainable Large Language Models (LLMs) for software code
• Green Agentic AI
• Reduction of software organizations’ compute-heavy workloads
• Cloud and energy efficiency
• Standards on the environmental sustainability of software and AI software

Authors should prepare their manuscript according to the Instructions for Authors available from the Journal’s submission guidelines https://link.springer.com/journal/10515/submission-guidelines. Submitted papers should present original, unpublished work, relevant to one of the topics of the special issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation by at least two independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process.