A multi-agent model for planning hybrid software processes
Author(s) -
Włodzimierz Wysocki,
Cezary Orłowski
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.09.339
Subject(s) - computer science , agile software development , scrum , flexibility (engineering) , process (computing) , project management , multi agent system , process management , software engineering , predictability , systems engineering , software , engineering management , software development , artificial intelligence , statistics , physics , mathematics , quantum mechanics , engineering , business , programming language , operating system
The growing trend to use agile methodologies in project management significantly affects the importance of the selection process of an appropriate management methodology for the project’s size and type. For many projects, hybrid methodologies that are a compromise between soft and hard approaches apply to project management. It is a pragmatic approach used by medium and large organizations, combining predictability and manageability of the traditional process, with high efficiency and flexibility of agile methodologies. To support the research and development process of these methodologies, the authors proposed the use of agent paradigm and the use of multi-agent systems. Its use is a consequence of adaptability of agents to simulate the work of project teams. To test its usefulness, a multi-agent AGOMO (AGent-Object Model) was built and used in the work of the team producing an IT system based on the interaction of agent behaviours and components of the agent system environment. Using this model, research experiments were carried out by evaluating the SCRUM and RUP software production process and the appropriate methods and tools for project planning.
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