• DocumentCode
    1679178
  • Title

    A Technique and a Tool to Detect Emergent Behavior of Distributed Systems Using Scenario-Based Specifications

  • Author

    Moshirpour, Mohammad ; Mousavi, Abdolmajid ; Far, Behrouz H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada
  • Volume
    1
  • fYear
    2010
  • Firstpage
    153
  • Lastpage
    159
  • Abstract
    Distributed systems are employed in countless applications such as information systems, robotics, etc. Lack of central control makes the design of such systems a challenging task because of possible unwanted behavior at runtime, commonly known as emergent behavior. Developing a methodology to detect emergent behavior in the pre-implementation stages of the software development life-cycle of distributed systems can potentially lead to huge savings in time and cost. Moreover, due to the typical large size of the modern distributed systems, automating the detection methodology is considered greatly beneficial. An effective and efficient approach for the design of distributed systems is to describe system requirements using scenarios. A scenario, commonly known as a message sequence chart (MSC), is a temporal sequence of messages sent between system components. However, scenario-based specifications may contain subtle deficiencies with respect to analysis and validation known as incompleteness and partial description. In this research, a tool to automatically detect emergent behavior of scenario-based specification of distributed systems is developed and demonstrated using a robotics example.
  • Keywords
    distributed processing; formal specification; distributed systems; emergent behavior detection; message sequence chart; scenario-based specifications; software development lifecycle; Process control; Prototypes; Robot sensing systems; Semantics; Servers; Distributed systems; automated design; emergent behavior; message sequence chart; requirements verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on
  • Conference_Location
    Arras
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4244-8817-9
  • Type

    conf

  • DOI
    10.1109/ICTAI.2010.29
  • Filename
    5670032