• DocumentCode
    231278
  • Title

    Rule-Based Test Input Generation from Bytecode

  • Author

    Weifeng Xu ; Tao Ding ; Dianxiang Xu

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Gannon Univ., Erie, PA, USA
  • fYear
    2014
  • fDate
    June 30 2014-July 2 2014
  • Firstpage
    108
  • Lastpage
    117
  • Abstract
    Search-based test generators, such as those using genetic algorithms and alternative variable methods, can automatically generate test inputs. They typically rely on fitness functions to calculate fitness scores for guiding the search process. This paper presents a novel rule-based testing (RBT) approach to automated generation of test inputs from Java byte code without using fitness functions. It extracts tagged paths from the control flow graph of given byte code, analyzes and monitors the predicates in the tagged paths at runtime, and generates test inputs using predefined rules. Our case studies show that RBT has outperformed the test input generators using genetic algorithms and alternative variable methods.
  • Keywords
    Java; computational linguistics; flow graphs; logic programming; program testing; Java byte code; RBT approach; alternative variable methods; automated test input generation; control flow graph; fitness function; fitness scores; genetic algorithms; rule-based test input generation; rule-based testing approach; runtime predicate analysis; runtime predicate monitoring; search process; search-based test generators; tagged path extraction; Engines; Generators; Inference algorithms; Input variables; Java; Monitoring; Testing; Software testing; bytecode; fitness function; searchbased testing; test input generation;
  • 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.2014.24
  • Filename
    6895421