| Autor: |
Asma Fariha, Sanaa Alwidian, Akramul Azim |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
IEEE Access, Vol 12, Pp 114263-114279 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2024.3443271 |
| Popis: |
Embedded software quality is a critical concern in modern engineering, impacting a broad range of applications from spacecraft to complex control systems. Requirements engineering and software maintenance play pivotal roles in ensuring the high reliability and efficiency of embedded systems. This study contributes to the field by presenting a systematic literature review that comprehensively explores existing research on embedded software requirements engineering and maintenance methods. Through the established systematic review process, a thorough analysis of the research trends of methods used for different requirements engineering and maintenance activities was conducted on 79 primary studies. Moreover, the review emphasizes the significance of research on automation techniques and discusses the current status of the application of artificial intelligence and machine learning techniques for both domains. This review serves as a valuable resource for researchers and practitioners by addressing the challenges of limited research in certain domains and pointing to future research directions. Overall, this systematic literature review provides insights into future research prospects in the embedded software requirements engineering and maintenance domain for improved reliability. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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