Sofian, Hazrina and Md Yunus, Nur Arzilawati and Ahmad, Rodina (2022) Systematic mapping: Artificial intelligence techniques in software engineering. IEEE Access, 10. pp. 51021-51040. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2022.3174115.
Full text not available from this repository.Abstract
Artificial Intelligence (AI) has become a core feature of today's real-world applications, making it a trending topic within the software engineering (SE) community. The rise in the availability of AI techniques encompasses the capability to make rapid, automated, impactful decisions and predictions, leading to the adoption of AI techniques in SE. With industry revolution 4.0, the role of software engineering has become critical for developing productive, efficient, and quality software. Thus, there is a major need for AI techniques to be applied to enhance and improve the critical activities within the software engineering phases. Software is developed through intelligent software engineering phases. This paper concerns a systematic mapping study that aimed to characterize the publication landscape of AI techniques in software engineering. Gaps are identified and discussed by mapping these AI techniques against the SE phases to which they contributed. Many systematic mapping review papers have been produced only for a specific AI technique or a specific SE phase or activity. Hence, to our best of knowledge within the last decade, there is no systematic mapping review that has fully explored the overall trends in AI techniques and their application to all SE phases.
| Item Type: | Article |
|---|---|
| Funders: | Universiti Malaya [GPF097A-2020] |
| Uncontrolled Keywords: | Artificial intelligence; Software; Systematics; Software engineering; Data mining; Predictive models; Training; Artificial intelligence; Machine learning; Deep learning; Data mining; Software engineering; Requirements engineering; Analysis and design; Software development; Software testing; Software maintenance; Software deployment |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Software Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 25 Aug 2023 07:00 |
| Last Modified: | 27 Nov 2024 01:42 |
| URI: | http://eprints.um.edu.my/id/eprint/43102 |
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