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

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

Authors:

• Hatem A. Khater
• A. Baith Mohamed
• Sara M. Kamel

Keywords:

• Software Development Risks Identification (SDRI)
• Fault Tree Analysis (FTA)
• Taxonomy for Software Development Risks (TSDR)
• Probabilistic Risk Assessment (PRA).

References:

[1] Linda Westfall, "Software Risk Management" The Westfall Team,
PMB 383, 3000 Custer Road, Suite 270Plano, TX 75075, Jan 2002.
[2] 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.
[3] Sebastian Maniasi, Paola Britos and Ramón García-Martínez, "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.
[4] Futrell, Shafer & Shafer, "Quality Software Project Management"
Prentice Hall Editorial. ISBN 0130912972, 2002.
[5] Webster, "Merriam-Webster's Collegiate Dictionary" Merriam-Webster
Editorial. ISBN 0877797099. 2004.
[6] 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.
[7] Guillaume Merle, Jean-Marc Roussel, Jean-Jacques Lesage, "Dynamic
Fault Tree Analysis Based On the Structure Function" Annual
Reliability and Maintainability Symposium, 2011.
[8] 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.
[9] 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.