Authors :
Dr. Ahmed Ibrahim Safana; Aminatu Maikudi
Volume/Issue :
Volume 7 - 2022, Issue 8 - August
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3eIj4mA
DOI :
https://doi.org/10.5281/zenodo.7067697
Abstract :
An expert system or knowledge based
software is regarded as the basement of an artificial
intelligence. The integrity of every software is attached
to its developmental life-cycle. Ageing has no negative
effect on every software, but poor elicitation,
developmental processes as well as the maintenance
does. Experts system is one of the most sensitive system
in the world, its failure can lead to a catastrophic
situation. Managing and maintaining an expert systems
is one of the difficult task to handle. This research
underwent a systematic literature review to identify and
iterate the best amongst the various ways used in
maintaining and managing an expert system, with the
aim of comparing, and providing a combination of best
practices as a framework.
An expert system or knowledge based
software is regarded as the basement of an artificial
intelligence. The integrity of every software is attached
to its developmental life-cycle. Ageing has no negative
effect on every software, but poor elicitation,
developmental processes as well as the maintenance
does. Experts system is one of the most sensitive system
in the world, its failure can lead to a catastrophic
situation. Managing and maintaining an expert systems
is one of the difficult task to handle. This research
underwent a systematic literature review to identify and
iterate the best amongst the various ways used in
maintaining and managing an expert system, with the
aim of comparing, and providing a combination of best
practices as a framework.
