(AIAM2019) Artificial Intelligence in Software Engineering and inverse: Review. Issue 10 (1st November 2020)
- Record Type:
- Journal Article
- Title:
- (AIAM2019) Artificial Intelligence in Software Engineering and inverse: Review. Issue 10 (1st November 2020)
- Main Title:
- (AIAM2019) Artificial Intelligence in Software Engineering and inverse: Review
- Authors:
- Shehab, Mohammad
Abualigah, Laith
Jarrah, Muath Ibrahim
Alomari, Osama Ahmad
Daoud, Mohammad Sh. - Abstract:
- ABSTRACT: Artificial Intelligence (AI) and Software Engineering are considered as significant fields to solve various problems. However, there are weaknesses in certain problem-solving in each field. Thus, this paper is a broad-based review of using artificial intelligence (AI) to improve software engineering (SE), and vice versa. As well as it intends to review the techniques developed in artificial intelligence from the standpoint of their application in software engineering. The aim of this review is highlighted in how the previous study benefited from incorporating the advantages of both fields. The researchers and practitioners on AI and SE belong to a wide range of audiences from the domains of optimization, engineering, data mining, clustering, etc., who will benefit from this study and areas for potential future research.
- Is Part Of:
- International journal of computer integrated manufacturing. Volume 33:Issue 10/11(2020)
- Journal:
- International journal of computer integrated manufacturing
- Issue:
- Volume 33:Issue 10/11(2020)
- Issue Display:
- Volume 33, Issue 10/11 (2020)
- Year:
- 2020
- Volume:
- 33
- Issue:
- 10/11
- Issue Sort Value:
- 2020-0033-NaN-0000
- Page Start:
- 1129
- Page End:
- 1144
- Publication Date:
- 2020-11-01
- Subjects:
- Artificial intelligence -- software engineering -- software development process -- artificial intelligence techniques
Computer integrated manufacturing systems -- Periodicals
670.427 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/0951192X.2020.1780320 ↗
- Languages:
- English
- ISSNs:
- 0951-192X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.174700
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 22488.xml