@article{(Open Science Index):https://publications.waset.org/pdf/5735,
	  title     = {A Proposed Technique for Software Development Risks Identification by using FTA Model},
	  author    = {Hatem A. Khater and  A. Baith Mohamed and  Sara M. Kamel},
	  country	= {},
	  institution	= {},
	  abstract     = {Software Development Risks Identification (SDRI),
using Fault Tree Analysis (FTA), is a proposed technique to identify
not only the risk factors but also the causes of the appearance of the
risk factors in software development life cycle. The method is based
on analyzing the probable causes of software development failures
before they become problems and adversely affect a project. It uses
Fault tree analysis (FTA) to determine the probability of a particular
system level failures that are defined by A Taxonomy for Sources of
Software Development Risk to deduce failure analysis in which an
undesired state of a system by using Boolean logic to combine a
series of lower-level events. The major purpose of this paper is to use
the probabilistic calculations of Fault Tree Analysis approach to
determine all possible causes that lead to software development risk
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {7},
	  number    = {1},
	  year      = {2013},
	  pages     = {105 - 111},
	  ee        = {https://publications.waset.org/pdf/5735},
	  url   	= {https://publications.waset.org/vol/73},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 73, 2013},