• DocumentCode
    719143
  • Title

    Graph based verification of software and identification of defects by binary search on graph

  • Author

    Desai, Nirav ; Gaikwad, Hema

  • Author_Institution
    Symbiosis Inst. of Comput. Studies & Res., Pune, India
  • fYear
    2015
  • fDate
    15-16 May 2015
  • Firstpage
    870
  • Lastpage
    873
  • Abstract
    In this paper a technique is proposed to simplify testing of software using dependency graphs. Dependency graphs help to highlight dependencies in the software and isolate pieces of code that would run independent of each other. By doing graph based tests, we could ensure full path coverage. Also, if defects are found, dependency graphs would help to isolate the defects to different independent parts of the graph through the use of graph partitioning techniques. A binary search for the defect over the graph would then help to isolate the source of the defect. Graph partitioning would partition the graph into 2 independent halves or 2 dependent halves with the input and output dependencies clearly mapped. A test on each half would help to isolate the defect to one or the other half. Each identified part of the graph would further be tested using the same technique till the defect is identified.
  • Keywords
    graph theory; program testing; program verification; search problems; binary search; defect identification; dependency graphs; graph based software verification; graph based tests; graph partitioning techniques; software testing; Automation; Complexity theory; Computers; Software; Software testing; Symbiosis; Graph based testing; binary search on a tree; code walkthrough; cyclomatic complexity; functional verification; graph partitioning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication & Automation (ICCCA), 2015 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-8889-1
  • Type

    conf

  • DOI
    10.1109/CCAA.2015.7148497
  • Filename
    7148497