@article{MAKHILLIJSC202015421486,
    title = {Dictionary Based Approach To Detect Cross Language Clones of C and Java Language},
    journal = {International Journal of Soft Computing},
    volume = {15},
    number = {4},
    pages = {91-96},
    year = {2020},
    issn = {1816-9503},
    doi = {ijscomp.2020.91.96},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2020.91.96},
    author = {Sanjay and},
    keywords = {Type-III,type-IV clones,clones,C,Java,porting tools},
    abstract = {Software clones are the result of the copy/paste
activity widely used by programmers to reuse existing
code to save time. About 10-15% of the code in large
codebase are clones. gcc-8.7%, JDK-29%, Linux-22%
There are state of art tools for detecting clones like
CCFinderX, EqMiner, Dup, Simjava, Nicad but cannot
work with IDE’s, hence, To solve the software
maintenance efforts in development process it is
important to propose efficient techniques to identify
clones (especially, type-III and type-IV clones). In this
work, dictionary based approach to detect cross clones of
C and Java to provide proper inputs to the developers who
engage in software forking or porting activities by
detecting and correcting porting and copying errors that
arise during porting process for IDE’s like NetBeans,
Eclipse.}
    }