Fault detection technique for test cases in software engineering

  • Authors

    • Jagatjot Singh Chandigarh University
    • Sumit Sharma Chandigarh University
    2018-01-08
    https://doi.org/10.14419/ijet.v7i1.7870
  • , Faults, Test Cases, Neural Networks, Back Propagation, Learn-to-Rank.

  • Abstract

    The processing of software and performing various operations on it is known as a software engineering process. The application of test cases for detecting the faults within the software is done through the testing process. There are various types of faults that occur within a software or test case which are to be identified and preventive approaches are to be applied to prevent them. In this paper, the Learn-to-rank algorithm is utilized which helps in detecting the faults from the software. The Back-Propagation technique is included with the LRA approach for enhancing its performance and improving the detection of fault rate. 10 test cases of different types are used for running various experiments and the MATLAB tool is utilized for performing various simulations. It is seen through the various simulation results that the fault detection rate is increased as well as the execution time is minimized with the help of this approach. 

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  • How to Cite

    Singh, J., & Sharma, S. (2018). Fault detection technique for test cases in software engineering. International Journal of Engineering & Technology, 7(1), 53-56. https://doi.org/10.14419/ijet.v7i1.7870

    Received date: 2017-05-30

    Accepted date: 2017-12-17

    Published date: 2018-01-08