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The paper "How to Turn Ethical Values Into System Requirements: Lessons Learned from Adopting a New IEEE Standard in the Business World" explores practical approaches to embedding ethics in software engineering processes using a new IEEE standard. computer.org/csdl/magazine/…

The column "Sentiment Analysis for the Masses: How LLMs Changed the Game" presents the evolution of sentiment analysis from a requirements engineering perspective. With large language models, the technology is now accessible to all. Check it out! computer.org/csdl/magazine/…

📰 The paper "Efficient Graph Processing" explores methods to optimize graph-processing performance, particularly focusing on calculating the consolidation-disruption (CD) index used to quantify scientific innovation. 🔗 Read the full paper here: computer.org/csdl/magazine/…

MLOps, LLMOps, FMOps, and Beyond! This special issue has brought together insights from a range of experts, highlighting advancements in MLOps, challenges in automating the ML lifecycle, and strategies for integrating AI principles. Check it out! computer.org/csdl/magazine/…

📰 The paper "Gains From Improved Recruitment of Software Developers: A Prediction Model of Expected Value Gain" explores how enhancing recruitment practices can significantly boost software development productivity. 🔗 Read the full paper here: computer.org/csdl/magazine/…

📰 The paper "What Attracts Employees to Work on Site in Times of Increased Remote Working?" explores factors influencing employees' decisions to return to physical offices amid the growing preference for remote work post-pandemic. Check it out! 🔗computer.org/csdl/magazine/…

📰 The paper "Laws, Ethics, and Fairness in Software Engineering" addresses critical concerns emerging from rapid advances in software engineering, particularly involving generative AI, data privacy, and workplace fairness. 🔗 Read the paper here: computer.org/csdl/magazine/…

Much has been written about SE and ethics — but what do practitioners think about it? In the paper “What Do AI/ML Practitioners Think About AI/ML Bias?”, Aastha Pant and team reached out to AI/ML practitioners, revealing surprising results. Check it out! computer.org/csdl/magazine/…

The paper "Realizing the Benefits of Human–Machine Teaming for Safe Software Operations" explores how human-machine teaming can improve software operations, highlighting opportunities, limitations, and risks. Check it out! computer.org/csdl/magazine/…