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20222026
most citedDo Generative AI Tools Ensure Green Code? An Investigative Study

11 citations · 27 across the 10 of their papers we have counts for

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9 papers · 1 filter

cs.SE2026

Agents That Teach: Towards Designing Incidental Learning Back into AI-Assisted Software Development

Rohit Mehra, Samdyuti Suri, Prithviraj K Tagadinamani +3

AI coding agents are rapidly reshaping how software is built, with developers increasingly delegating substantial coding tasks to autonomous agents in pursuit of higher productivit…

cs.SE2026

Prompt Coach: An Empirical Evaluation of an Agentic Tutor for Learning Prompt Engineering in Software Development

Rohit Mehra, Kapil Singi, Vikrant Kaulgud +5

Prompt engineering has emerged as a critical yet undertaught skill for software developers, one that traditional learning approaches are ill-equipped to support given its evolving,…

cs.SE2026★ 1 cited

SEALing the Gap: A Reference Framework for LLM Inference Carbon Estimation via Multi-Benchmark Driven Embodiment

Priyavanshi Pathania, Rohit Mehra, Vibhu Saujanya Sharma +4

Large Language Models are rapidly gaining traction in software engineering, yet their growing carbon footprint raises pressing sustainability concerns. While training emissions are…

cs.SE2025★ 2 cited

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead

Priyavanshi Pathania, Nikhil Bamby, Rohit Mehra +5

The proliferation of software and AI comes with a hidden risk: its growing energy and carbon footprint. As concerns regarding environmental sustainability come to the forefront, un…

cs.SE2025★ 3 cited

Assessing the Impact of Refactoring Energy-Inefficient Code Patterns on Software Sustainability: An Industry Case Study

Rohit Mehra, Priyavanshi Pathania, Vibhu Saujanya Sharma +3

Advances in technologies like artificial intelligence and metaverse have led to a proliferation of software systems in business and everyday life. With this widespread penetration,…

cs.SE2025★ 2 cited

Towards a Knowledge Base of Common Sustainability Weaknesses in Green Software Development

Priyavanshi Pathania, Rohit Mehra, Vibhu Saujanya Sharma +3

With the climate crisis looming, engineering sustainable software systems become crucial to optimize resource utilization, minimize environmental impact, and foster a greener, more…

cs.SE2025★ 11 cited

Do Generative AI Tools Ensure Green Code? An Investigative Study

Samarth Sikand, Rohit Mehra, Vibhu Saujanya Sharma +3

Software sustainability is emerging as a primary concern, aiming to optimize resource utilization, minimize environmental impact, and promote a greener, more resilient digital ecos…

cs.SE2022★ 4 cited

ESAVE: Estimating Server and Virtual Machine Energy

Priyavanshi Pathania, Rohit Mehra, Vibhu Saujanya Sharma +3

Sustainable software engineering has received a lot of attention in recent times, as we witness an ever-growing slice of energy use, for example, at data centers, as software syste…

cs.SE2022★ 4 cited

Towards a Green Quotient for Software Projects

Rohit Mehra, Vibhu Saujanya Sharma, Vikrant Kaulgud +2

As sustainability takes center stage across businesses, green and energy-efficient choices are more crucial than ever. While it is becoming increasingly evident that software and t…