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A Hybrid System for Detection of Implied Scenarios in Distributed Software Systems (S)

Distributed software systems (DSS) are usually open-ended systems used in different domains such as robotics, energy, health, etc. Multi-agent system (MAS) are a sub-class of DSS. In DSS, maintaining consistency between the system iterations is a complex and expensive task that requires coping with requirements changes and systems upgrading. The interactions, complexity and decentralized communication between components of the DSS may emerge an unwanted behavior. An unwanted behavior, known as Emergent Behavior (EB) or Implied Scenario (IS), could lead to irreversible damages. Thus, detecting IS at an early stage of the system development is needed to decrease the cost of maintaining the system. This work focuses on verification of DSS that its requirements modeled using Message Sequence Chart (MSC). The system verification focuses on the detection of IS using two already proposed different approaches. This article presents the combination of the two approaches by improving the usability of the tool presented in the first approach and the catalogue presented in the second approach. This combination allows the detection of new implied scenarios not detected using the cited approaches separately.