سند علمی

Test Sequence Generation from Classification Trees using Multi-agent Systems

چکیده

The combinatorial test design and combinatorial interaction testing are well studied topics. For the generation of dynamic test sequences from a formal specification of combinatorial problems, there has not been much work yet. The classification tree method implements aspects from the field of combinatorial testing. We will extend the classification tree by additional information to allow the interpretation of the classification tree as a hierarchical concurrent state machine. Using this state machine, our new approach then uses a Multiagent System to generate test sequences by finding and rating valid paths through the state machine.

اسناد مشابه

  • Structured System Test Suite Generation Process for Multi-Agent System

    سند علمی۲۰۱۱Zina Houhamdi, Belkacem Athamena

    In recent years, Agent-Oriented Software Engineering (AOSE) methodologies are proposed to develop complex distributed systems based upon the agent paradigm. The implementation for such systems has usually the form of Multi-Agent Systems (MAS). MAS’ testing is a challenging task b

  • Structured Integration Test Suite Generation Process for Multi-Agent System

    سند علمی۲۰۱۱Zina Houhamdi, Belkacem Athamena

    Problem statement: In recent years, Agent-Oriented Software Engineering (AOSE) methodologies are proposed to develop complex distributed systems based upon the agent paradigm. The implementation for such systems has usually the form of Multi-Agent Systems (MAS). Testing of MAS is

  • Structured Acceptance Test Suite Generation Process for Multi-Agent System

    سند علمی۲۰۱۲Computer and Information ScienceBelkacem Athamena, Zina Houhamdi

    In recent years, Agent-Oriented Software Engineering (AOSE) methodologies are proposed to develop complex distributed systems based upon the agent paradigm. The implementation for such systems has usually the form of Multi-Agent Systems (MAS). Testing of MAS is a challenging task

  • Relational Sequence based Classification in Multi-agent Systems

    سند علمی۲۰۱۰ICAARTGrazia Bombini, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito

    In multiagent adversarial environment, the adversary consists of a team of opponents that may interfere with the achievement of goals. In this domain agents must be able to quickly adapt to the environment and infer knowledge from other agents’ deportment to identify the future b

  • Structured Acceptance Test Suite Generation Process for Multi-Agent System

    مقاله‌ی دسترسی آزاد۲۰۱۱Computer and Information ScienceBelkacemAthamena, ZinaHouhamdi
  • Optimal Short-Term Generation Scheduling with Multi-Agent System under a Deregulated Power Market

    سند علمی۲۰۰۴Jing Yu, Jianzhong Zhou, Bin Hua, Rongtao Liao

    With the opening of the power industry to competition, the power system structure is changing. According to these changes, power system operation, planning, and control need modifications. Under this deregulated power market, generation companies (GENCOs) can schedule their gener