What is it about?
This study examines how emerging technologies and modern software development practices, such as Agile methodology, DevOps, and Machine Learning, are transforming software engineering. Using survey data, statistical analysis with SPSS, and qualitative interviews, the research found that Agile significantly reduces software development time, DevOps improves collaboration and deployment efficiency, and Machine Learning enhances error detection and predictive maintenance. The findings suggest that organizations adopting these technologies can improve software quality, reduce costs, and accelerate innovation while meeting changing customer and industry demands.
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Why is it important?
Software engineering is evolving rapidly with increasing demand for faster, more secure, and higher-quality software systems. This research provides evidence that adopting Agile, DevOps, and Machine Learning improves software development efficiency and product quality. The findings help software developers, IT companies, project managers, and researchers understand how these emerging trends can enhance productivity, reduce software defects, and support digital transformation.
Perspectives
As an author, I believe software engineering is entering a transformative era driven by Agile methodologies, DevOps, Machine Learning, and Artificial Intelligence. While these technologies offer significant improvements in software quality, development speed, and innovation, their successful implementation depends on continuous learning, organisational support, and interdisciplinary collaboration. Conducting this research strengthened my understanding of how modern software engineering practices can address real-world development challenges. I hope this study encourages researchers and industry professionals to adopt evidence-based approaches that enhance productivity, software reliability, and sustainable technological innovation. Future research should also explore the ethical, security, and human aspects of AI-assisted software development.
Dr. Sushanta Kumar Tarai
Kalinga Institute of Social Sciences (KISS) Deemed to be University
Read the Original
This page is a summary of: Emerging Trends in Software Engineering: Implications for Development and Efficiency, February 2025, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/esic64052.2025.10962758.
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