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Popli, Rashmi. Artificial intelligence for software testing perspectives and practices. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2021.
Artificial intelligence for software testing perspectives and practices
Name: Jha, Nisha
Organization :
J.C. Bose University of Science and Technology. Department of Computer Engineering
Email :
nishajha1992@gmail.com
Name: Popli, Rashmi
Organization :
J.C. Bose University of Science and Technology. Department of Computer Engineering
Email :
rashmimukhija@gmail.com
keyword:
Software quality assurance
LCSH:
Artificial intelligence
LCSH:
Machine learning
LCSH:
Computer software
-- Testing
Abstract:
Artificial Intelligence (AI) has emerged as a
buzzword for current software applications. The modern
advancements in the Information Technology sector have
invigorated the need to incorporate AI competencies into software
services. This objective has constrained the organizations to revisit
their software development processes. Software testing plays a
vital role in validating the software quality. Both the AI and
software testing researchers and Practitioners must lead the
innovations to address their integrating challenges. AI and
Machine Learning (ML) have the potential to advance the
capabilities to test the software intensely. The objective of the
paper is to review the state-of-the-art of applying AI in software
testing briefly. It also discusses the software testing activities
mapped to AI and the related challenges.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2021
Modified:
2024-06-14
Issued:
2024-06-14
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Computer Society. 2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT 2021) (pp.377-382). Los Alamitos, CA : IEEE Computer Society
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.01829 วินาที
Jha, Nisha
| Title | Contributor | Type |
|---|---|---|
| Artificial intelligence for software testing perspectives and practices
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Jha, Nisha;Popli, Rashmi | บทความ/Article |
Popli, Rashmi
| Title | Contributor | Type |
|---|---|---|
| Trusted framework for transitioning to distributed agile development environment - a survey
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Singh, Madan;Chauhan, Naresh;Popli, Rashmi | บทความ/Article | |
| Framework for machine learning based task allocation in DASD environment
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Singh, Madan;Chauhan, Naresh;Popli, Rashmi | บทความ/Article | |
| Artificial intelligence for software testing perspectives and practices
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Jha, Nisha;Popli, Rashmi | บทความ/Article |