@article{(Open Science Index):https://publications.waset.org/pdf/8400,
	  title     = {Flexible, Adaptable and Scaleable Business Rules Management System for Data Validation},
	  author    = {Kashif Kamran and  Farooque Azam},
	  country	= {},
	  institution	= {},
	  abstract     = {The policies governing the business of any
organization are well reflected in her business rules. The business
rules are implemented by data validation techniques, coded during
the software development process. Any change in business
policies results in change in the code written for data validation
used to enforce the business policies. Implementing the change in
business rules without changing the code is the objective of this
paper. The proposed approach enables users to create rule sets at
run time once the software has been developed. The newly defined
rule sets by end users are associated with the data variables for
which the validation is required. The proposed approach facilitates
the users to define business rules using all the comparison
operators and Boolean operators. Multithreading is used to
validate the data entered by end user against the business rules
applied. The evaluation of the data is performed by a newly
created thread using an enhanced form of the RPN (Reverse Polish
Notation) algorithm.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {5},
	  year      = {2010},
	  pages     = {867 - 873},
	  ee        = {https://publications.waset.org/pdf/8400},
	  url   	= {https://publications.waset.org/vol/41},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 41, 2010},
	}