DO SOFTWARE ENGINEERS NEED ML SKILLS TO BE SUCCESSFUL IN THE AGE OF GEN AI

Published: Jan. 7, 2025

As the software development landscape undergoes transformation with advent of generative AI, a crucial question emerges about necessity machine learning skills for engineers' success.This comprehensive article examines evolving role engineers in AI era, demonstrating that while integration is becoming increasingly important, traditional engineering remain fundamental.The explores key areas including prompt engineering, expertise, infrastructure development, and cross-functional collaboration, revealing success modern depends more on ability to effectively integrate implement capabilities than deep expertise.The findings suggest who adapt their Ankur Aggarwal https://iaeme.com/

Language: Английский

My Code Is Less Secure with Gen AI: Surveying Developers' Perceptions of the Impact of Code Generation Tools on Security

Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, Journal Year: 2025, Volume and Issue: unknown, P. 1637 - 1646

Published: March 31, 2025

Language: Английский

A 2030 Roadmap for Software Engineering

ACM Transactions on Software Engineering and Methodology, Journal Year: 2025, Volume and Issue: unknown

Published: April 25, 2025

The landscape of software engineering has dramatically changed in recent years. impressive advances artificial intelligence are just the latest and most disruptive innovation that remarkably research practice. This special issue shares a roadmap to guide community this confused era. is outcome two-day intensive discussion at 2030 Software Engineering workshop. spotlights discusses seven main landmarks new landscape: engineering, human aspects security, verification validation, sustainable quantum engineering. editorial summarizes core discussed 37 papers comprise sections guides interested readers throughout issue. living body we will refine with follow-up workshops update for series forthcoming ACM TOSEM issues.

Language: Английский