A Roadmap for Artificial Intelligence Augmented Software Development Life Cycle: Aspects of Knowledge Vaporization

Artificial Intelligence Augmented Software Development Life Cycle is a process for developing software that incorporates AI techniques and technologies. One aspect of AIASDLC is knowledge vaporization, which refers to the process of extracting and encapsulating knowledge from the AI model during dev...

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Bibliographic Details
Main Authors: Alzyadat, Wael, Al-Madi, Mohammad, Muhairat, Mohammad, Al-Madi, Nagham, Altarawneh, Feras
Format: Conference Proceeding
Language:English
Subjects:
Artificial Intelligent
Decision making
Knowledge engineering
Knowledge Vaporization
Requirement
Requirements engineering
Scalability
Security
Software systems
User experience
Online Access:Request full text
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Summary:Artificial Intelligence Augmented Software Development Life Cycle is a process for developing software that incorporates AI techniques and technologies. One aspect of AIASDLC is knowledge vaporization, which refers to the process of extracting and encapsulating knowledge from the AI model during development and making it available for use in other parts of the software development life cycle. The advantages of AIASDLC include; improved performance, increased efficiency, better decision-making, better user experience, better scalability, better security and compliance, and knowledge vaporization. Requirement engineering is the process of gathering, analyzing, and specifying the requirements for a software system. The context boundary, domain knowledge, application domain, and system boundary are all important concepts in requirement engineering that help define the scope and constraints of the system being developed. Understanding the context boundary is important because it helps identify the external factors that will affect the requirements of the system. Domain knowledge is the understanding and expertise in a specific field or area that is necessary for effective requirement engineering. The application domain is the specific area or field where the system will be used, and it is important to understand the application domain to gather and document the correct requirements for the system
ISSN:2831-3399
DOI:10.1109/ICIT58056.2023.10226133