Title :
Statistical methods for sustainable risk identification methodologies
Author :
Shahzad, Basit ; Al-Mudimigh, Abdullah S. ; Ullah, Zahid
Author_Institution :
Coll. of Comput. & Inf. Sci., King Saud Univ., Riyadh, Saudi Arabia
Abstract :
This paper focuses on the comparison of suitable methodologies that can help identifying the risk factors more appropriately. For this purpose a comparative study between the available techniques, namely Experience & Knowledge (EK), Questionnaire (Q) and Direct Communication (DC) has been made based on the survey that has been conducted on more than 100 respondents. By tabulating the results the weighted index is calculated that is summarized afterwards to portray the appropriate risk identification methodology for all the risk factors that have been addressed in this paper.
Keywords :
risk analysis; software engineering; statistical analysis; direct communication; experience & knowledge; questionnaire; risk factors; statistical methods; sustainable risk identification methodologies; weighted index; Computer industry; Delay; Documentation; Educational institutions; Information science; Programming; Q measurement; Risk management; Software development management; Statistical analysis;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5478134
