World Academy of Science, Engineering and Technology
Published January 21, 2013 | Version 5735
Journal article Open

A Proposed Technique for Software Development Risks Identification by using FTA Model

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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 occurrence

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References

  • Linda Westfall, "Software Risk Management" The Westfall Team, PMB 383, 3000 Custer Road, Suite 270Plano, TX 75075, Jan 2002.
  • GREGORY A. TOTH, "Automated Method for Identifying and Prioritizing Project Risk Factors" USC Center Jbr Software Engineering, University of Southern California, Los Angeles, CA 90089, 1995.
  • Sebastian Maniasi, Paola Britos and Ram├│n Garc├¡a-Mart├¡nez, "A Taxonomy-Based Model for Identifying Risks" Global Software Group (GSG) Argentina Motorola Argentina Centro de Software .Software & Knowledge Engineering Center. Graduate School. Buenos Aires Institute of Technology 2005.
  • Futrell, Shafer & Shafer, "Quality Software Project Management" Prentice Hall Editorial. ISBN 0130912972, 2002.
  • Webster, "Merriam-Webster's Collegiate Dictionary" Merriam-Webster Editorial. ISBN 0877797099. 2004.
  • Marvin J. Carr, Suresh L. Konda, Ira Monarch, F. Carol Ulric "Taxonomy-Based Risk Identification" Software Engineering Institute Carnegie Mellon University Pittsburgh, Pennsylvania 15213, June 1993.
  • Guillaume Merle, Jean-Marc Roussel, Jean-Jacques Lesage, "Dynamic Fault Tree Analysis Based On the Structure Function" Annual Reliability and Maintainability Symposium, 2011.
  • E. Genender, M. Mleczko, O. Doring, H. Garbe, and S. Potthast "Fault tree analysis for system modeling in case of intentional EMI" Advances in Radio Science, 2011.
  • Guillaume Merle, Jean-Marc Roussel, and Jean-Jacques Lesage, "Improving the Efficiency of Dynamic Fault Tree Analysis by Considering Gates FDEP as Static" European Safety and Reliability Conference, 2010. [10] Dr. Michael Stamatelatos, "Probabilistic Risk Assessment: What Is It And Why Is It Worth Performing It?" NASA Office of Safety and Mission Assurance, 2000. [11] Dr. Michael Stamatelatos, Dr. William Vesely, Dr. Joanne Dugan, Mr. Joseph Fragola, Mr. Joseph Minarick, Mr. Jan Railsback, "Fault Tree Handbook with Aerospace Applications" NASA Headquarters Washington, DC 20546,August, 2002. [12] Pat L. Clemens, "Fault Tree Analysis" Pat L. Clemens and Jacobs Sverdrup, Inc, 4th Edition provided as a free service by www.faulttree. net, May 1993.