@article{(Open Science Index):https://publications.waset.org/pdf/2555,
	  title     = {Detecting Interactions between Behavioral Requirements with OWL and SWRL},
	  author    = {Haibo Hu and  Dan Yang and  Chunxiao Ye and  Chunlei Fu and  Ren Li},
	  country	= {},
	  institution	= {},
	  abstract     = {High quality requirements analysis is one of the most
crucial activities to ensure the success of a software project, so that
requirements verification for software system becomes more and more
important in Requirements Engineering (RE) and it is one of the most
helpful strategies for improving the quality of software system.
Related works show that requirement elicitation and analysis can be
facilitated by ontological approaches and semantic web technologies.
In this paper, we proposed a hybrid method which aims to verify
requirements with structural and formal semantics to detect
interactions. The proposed method is twofold: one is for modeling
requirements with the semantic web language OWL, to construct a
semantic context; the other is a set of interaction detection rules which
are derived from scenario-based analysis and represented with
semantic web rule language (SWRL). SWRL based rules are working
with rule engines like Jess to reason in semantic context for
requirements thus to detect interactions. The benefits of the proposed
method lie in three aspects: the method (i) provides systematic steps
for modeling requirements with an ontological approach, (ii) offers
synergy of requirements elicitation and domain engineering for
knowledge sharing, and (3)the proposed rules can systematically assist
in requirements interaction detection.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {12},
	  year      = {2010},
	  pages     = {1833 - 1839},
	  ee        = {https://publications.waset.org/pdf/2555},
	  url   	= {https://publications.waset.org/vol/48},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 48, 2010},
	}