@article{(Open Science Index):https://publications.waset.org/pdf/3286,
	  title     = {BugCatcher.Net: Detecting Bugs and Proposing Corrective Solutions},
	  author    = {Sheetal Chavan and  P. J. Kulkarni and  Vivek Shanbhag},
	  country	= {},
	  institution	= {},
	  abstract     = {Although achieving zero-defect software release is
practically impossible, software industries should take maximum
care to detect defects/bugs well ahead in time allowing only bare
minimums to creep into released version. This is a clear indicator of
time playing an important role in the bug detection. In addition to
this, software quality is the major factor in software engineering
process. Moreover, early detection can be achieved only through
static code analysis as opposed to conventional testing.
BugCatcher.Net is a static analysis tool, which detects bugs in .NET®
languages through MSIL (Microsoft Intermediate Language)
inspection. The tool utilizes a Parser based on Finite State Automata
to carry out bug detection. After being detected, bugs need to be
corrected immediately. BugCatcher.Net facilitates correction, by
proposing a corrective solution for reported warnings/bugs to end
users with minimum side effects. Moreover, the tool is also capable
of analyzing the bug trend of a program under inspection.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {2},
	  year      = {2010},
	  pages     = {215 - 222},
	  ee        = {https://publications.waset.org/pdf/3286},
	  url   	= {https://publications.waset.org/vol/38},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 38, 2010},
	}