Artificial Intelligence based Risk Management Framework for Distributed Agile Software Development

Distributed Agile Software Development blends the principles of agile to geographically separated teams and thereby combines the quality benefits of Agile Software Development with cost benefits of Distributed Software Development. Distributed Agile Software Development brings along new risks that a...

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Bibliographic Details
Published in:International Conference on Signal Processing and Integrated Networks (Online) pp. 657 - 660
Main Authors: Khanna, Esha, Popli, Rashmi, Chauhan, Naresh
Format: Conference Proceeding
Language:English
Published: IEEE 26.08.2021
Subjects:
Agile software development
Artificial intelligence
Bibliographies
Costs
Distributed Agile Software Development
Risk management
Signal processing
Software
ISSN:2688-769X
Online Access:Get full text
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Summary:Distributed Agile Software Development blends the principles of agile to geographically separated teams and thereby combines the quality benefits of Agile Software Development with cost benefits of Distributed Software Development. Distributed Agile Software Development brings along new risks that arise due to the difference in working principles of Agile Software Development and Distributed Software Development. Identifying and managing these risks on time improves the quality of the software product and reduces the overall development cost. This work presents a novel Artificial Intelligence based framework for managing risks in Distributed Agile Software Development. The proposed framework will help the practitioners to timely identify and deal with associated risks and thereby reduce the cost and development time.
ISSN:2688-769X
DOI:10.1109/SPIN52536.2021.9566000