• DocumentCode
    231285
  • Title

    Generating Test Cases for Context-Aware Applications Using Bigraphs

  • Author

    Lian Yu ; Wei Tek Tsai ; Yanbing Jiang ; Gao, J.

  • Author_Institution
    Sch. of Software & Microelectron., Peking Univ., Beijing, China
  • fYear
    2014
  • fDate
    June 30 2014-July 2 2014
  • Firstpage
    137
  • Lastpage
    146
  • Abstract
    Context-aware applications often consist of a middleware and a collection of services, which run autonomously adaptive to the changing environments, where a variety of sensors are installed in physical facilities, with end-users moving around. Testing such context-aware applications is challenging due to the complex interactions among the components, especially for the complicated environment modeling. This paper extends a bigraphical sorting predicate logic as constraints to create a meta-model, builds a data model based on the bigraphical meta-model, and proposes to use the sorted bigraphical reaction system (BRS) to model the context-aware environments. Tracing the interactions between the BRS model and the middleware model generates the test cases to verify the interactions between the context-aware environments and the middleware together with the domain services. To decrease the number of test cases, this paper proposes a bigraphical pattern flow testing strategy. An example airport is demonstrated to show fault detection capabilities and reductions of test cases.
  • Keywords
    graph theory; middleware; sorting; ubiquitous computing; bigraphical sorting predicate logic; context-aware environments; data model; meta-model; middleware; physical facilities; sorted bigraphical reaction system; Context modeling; Data models; Middleware; Sensors; Sorting; Testing; Unified modeling language; Bigraphcial Pattern-flow; Bigraphical data model; Bigraphical reaction systems; Context-aware environment modeling; EFSM; Sorting predicate logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Security and Reliability (SERE), 2014 Eighth International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4799-4296-1
  • Type

    conf

  • DOI
    10.1109/SERE.2014.27
  • Filename
    6895424