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Popli, Rashmi. Framework for machine learning based task allocation in DASD environment. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2021.
Framework for machine learning based task allocation in DASD environment
Name: Singh, Madan
Organization :
J.C. Bose University of Science & Technology. Department of Computer Engineering
Name: Chauhan, Naresh
Organization :
J.C. Bose University of Science & Technology. Department of Computer Engineering
Name: Popli, Rashmi
Organization :
J.C. Bose University of Science & Technology. Department of Computer Engineering
keyword:
Task allocation (Management)
LCSH:
Machine learning
Abstract:
Agile software development (ASD)[1],
in todays time has turn out to be one of the main
torrent methodologies. In order to hunt for bigger
markets and cheaper labor, software development
companies are switching towards Distributed
development environments. In Agile terms this
approach is well understood as distributed Agile
software development (DASD). In DASD
environment allocation of tasks has been an vicinity
of concern because ad hoc based approaches for
task allocation may lead to customer dissatisfactions
leading to project failures. Many research fellows
have operated on different techniques for task
allocation. In the paper, a novel approach for
quantitative task allocation in DASD has been
wished-for The approach seems to be promising for
allocation of tasks in DASD environment.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2021
Modified:
2024-06-11
Issued:
2024-05-31
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Computer Society. 2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT 2021) (CCICT 2021) (pp.29-34). Los Alamitos, CA : IEEE Computer Society
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.021436 วินาที
Singh, Madan
| 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 |
Chauhan, Naresh
| 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 |
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 |