AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions
Source abstract
Abstract
The software engineering landscape is undergoing a significant transformation with the advent of artificial intelligence (AI). AI technologies are poised to redefine traditional software development practices, offering innovative solutions to long-standing challenges. This paper explores the integration of AI into software engineering processes, aiming to identify its impacts, benefits, and the challenges that accompany this paradigm shift. A comprehensive analysis of current AI applications in software engineering is conducted, supported by case studies and theoretical models. The study examines various phases of software development to assess where AI contributes most effectively. The integration of AI enhances productivity, improves code quality, and accelerates development cycles. Key areas of impact include automated code generation, intelligent debugging, predictive maintenance, and enhanced decision-making processes. AI is revolutionizing software engineering by introducing automation and intelligence into the development lifecycle. Embracing AI-driven tools and methodologies is essential for staying competitive in the evolving technological landscape.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Ethics and Social Impacts of AI · Artificial Intelligence in Healthcare and Education · Digital Transformation in Industry
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
The Saudi Technology and Security Comprehensive Control Company (Tahakom), Riyadh 12435, Saudi Arabia
College of Computer and Information Sciences, Prince Sultan University, Riyadh 12435, Saudi Arabia
Funding
Prince Sultan University
References (76)
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