Intelligent Multi-Agent System for Improving the Quality of Software by Taking into Account the Information of the Subject Area at All Stages of its Development

Author(s):  
Ivan Lopatto ◽  
Tetiana Hovorushchenko ◽  
Peter Popov ◽  
Olga Pavlova
2020 ◽  
Vol 17 (5) ◽  
pp. 2035-2038
Author(s):  
E. Ajith Jubilson ◽  
Ravi Sankar Sangam

Metrics are the essential building blocks for any evaluation process. They establish specific goals for improvement. Multi agent system (MAS) is complex in nature, due to the increase in complexity of developing a multi agent system, the existing metrics are less sufficient for evaluating the quality of an MAS. This is due to the fact that agent react in an unpredictable manner. Existing metrics for measuring MAS quality fails to addresses potential communication, initiative behaviour and learn-ability. In this work we have proposed additional metrics for measuring the software agent. A software agent for online shopping system is developed and the metrics values are obtained from it and the quality of the multi agent system is analysed.


2015 ◽  
Vol 13 (4) ◽  
pp. 1048-1054 ◽  
Author(s):  
Joel Sanchez Dominguez ◽  
Adailton J. Cerqueira Junior ◽  
Dany Sanchez Dominguez ◽  
Diego Frias ◽  
Susana Marrero Iglesias

2005 ◽  
Vol 14 (2) ◽  
pp. 129-158 ◽  
Author(s):  
Pasquale De Meo ◽  
Antonio Iera ◽  
Giorgio Terracina ◽  
Domenico Ursino

2019 ◽  
Vol 3 (1) ◽  
pp. 109-116
Author(s):  
Tatyana Yesikova ◽  
Svetlana Vakhrusheva

The article poses the problem of modeling processes associated with the construction of large-scale infrastructural projects in the context of the Bering Strait tunnel (road construction in the Far North). The purpose of the simulation is to identify potential problems and estimate losses for various participants in similar projects. The study is based on such a simulation method as multi-agent modeling. The article describes the basics of building the topology of a multi-agent system in relation to this task: decomposing a process into subprocesses, identifying the main active agents, describing of the characteristics (attributes) of these agents, determining the type of their interaction. The article also presents a graph that is the prototype of a multi-agent system for a specific subject area and a description of the interactions of the identified agents.


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