AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions
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 integra...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/3/1344 |
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| author | Mamdouh Alenezi Mohammed Akour |
| author_facet | Mamdouh Alenezi Mohammed Akour |
| author_sort | Mamdouh Alenezi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-66767c9acca94b59a8a53799f8b8a8ed |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-66767c9acca94b59a8a53799f8b8a8ed2025-08-20T02:12:24ZengMDPI AGApplied Sciences2076-34172025-01-01153134410.3390/app15031344AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future DirectionsMamdouh Alenezi0Mohammed Akour1The Saudi Technology and Security Comprehensive Control Company (Tahakom), Riyadh 12435, Saudi ArabiaCollege of Computer and Information Sciences, Prince Sultan University, Riyadh 12435, Saudi ArabiaThe 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.https://www.mdpi.com/2076-3417/15/3/1344artificial intelligence (AI)software engineeringautomationsoftware development lifecycle |
| spellingShingle | Mamdouh Alenezi Mohammed Akour AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions Applied Sciences artificial intelligence (AI) software engineering automation software development lifecycle |
| title | AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions |
| title_full | AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions |
| title_fullStr | AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions |
| title_full_unstemmed | AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions |
| title_short | AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions |
| title_sort | ai driven innovations in software engineering a review of current practices and future directions |
| topic | artificial intelligence (AI) software engineering automation software development lifecycle |
| url | https://www.mdpi.com/2076-3417/15/3/1344 |
| work_keys_str_mv | AT mamdouhalenezi aidriveninnovationsinsoftwareengineeringareviewofcurrentpracticesandfuturedirections AT mohammedakour aidriveninnovationsinsoftwareengineeringareviewofcurrentpracticesandfuturedirections |