Testing in Agent Oriented Methodologies

  • Authors:
  • Mailyn Moreno;Juan Pavón;Alejandro Rosete

  • Affiliations:
  • Departamento de Inteligencia Artificial e Infraestructura de Sistemas Informáticos, Instituto Superior Politécnico José Antonio Echeverría, Marianao, Havana, Cuba 19390;Departamento de Ingeniería del Software e Inteligencia Artificial, Universidad Complutense de Madrid, Ciudad Universitaria, Madrid, Spain 28040;Departamento de Inteligencia Artificial e Infraestructura de Sistemas Informáticos, Instituto Superior Politécnico José Antonio Echeverría, Marianao, Havana, Cuba 19390

  • Venue:
  • IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
  • Year:
  • 2009

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Abstract

Testing is an important activity in software development in order to assure the correctness of software. However, testing is often disregarded in most agent oriented methodologies, mainly because they focus on analysis and design activities, and consider that implementation and testing issues can be performed using traditional techniques. But multi-agent systems implementation has some features that make it distinctive from traditional software. This paper presents an overview of testing in agent orientation based on the V-Model in order to establish the role of testing activities in an agent oriented development lifecycle. It also identifies how different types of testing are covered by previous work and the directions for further work.