• DocumentCode
    146367
  • Title

    Generation of mutation operators for aspect-oriented software systems

  • Author

    Lochab, Preeti ; Singhal, Achintya ; Bansal, Ankur

  • Author_Institution
    Dept. of CSE, Amity Univ., Noida, India
  • fYear
    2014
  • fDate
    25-26 Sept. 2014
  • Firstpage
    748
  • Lastpage
    752
  • Abstract
    Effectiveness of a software development depends directly upon how efficiently testing techniques have been carried out on the software. Testing starts as soon as requirements are being collected for the software development process. It was a myth at earlier days that software testing can only be carried out after implementation phase. Now it has been experimentally proved that in order to reduce the overall cost and time for the software development process, it is necessary to carry out testing from the first phase of software development life cycle. Among a large number of software testing methodologies, mutation testing is one of the testing methodology in which testing is performed by introducing faults into the program. Mutation testing focuses on fault identification by examining the efficiency of test suite. Many researchers have contributed into the field of Mutation testing in Aspect oriented systems. In this paper, various mutation operators are proposed to detect faults in AspectJ Programs.
  • Keywords
    aspect-oriented programming; program testing; software fault tolerance; AspectJ programs; aspect-oriented software systems; fault identification; mutation operator generation; mutation testing; software development process; software testing techniques; Java; Observers; Programming; Software; Software engineering; Software testing; Aspect-oriented programming; AspectJ; Mutation Operators; Mutation testing; Object-oriented programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-4237-4
  • Type

    conf

  • DOI
    10.1109/CONFLUENCE.2014.6949043
  • Filename
    6949043