Volume 7 Issue 3 - September 2016

  • 1. investigation of source code mining using novel code mining parameter matrix: recent state of art

    Authors : K Venkata Ramana K Venkata Ramana

    Pages : 88-97

    DOI : http://dx.doi.org/10.21172/1.73.512

    Keywords : Keywords: Source Code Mining, Rule Violation, Predictive Analysis of Source Code. API Usage in Code

    Abstract :

    With the recent growing demand for higher accuracy with better control is every industry and research domains, the desired accuracy without compromising on the quality assurance policies can be achieved through automation. The automation is solely depended on software programs or codes to replacement the manual methods. Thus the codes desires to be quality assured. However the testing for software code quality is a tedious and time consuming process. Hence to shorten the process various data mining techniques and tools are been deployed to make timely prediction of the specific pattern of the defects in the code and proceed with the highly ranked faults. This paper evaluates the various data mining methods and tools for predicting software defects like violation of standard programming rules, faulty code segment and wrong programming API usage.

    Citing this Journal Article :

    K Venkata Ramana K Venkata Ramana, " investigation of source code mining using novel code mining parameter matrix: recent state of art", https://www.ijltet.org/journal_details.php?id=907&j_id=3321, Volume 7 Issue 3 - September 2016, 88-97, #ijltetorg