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

fYear

2010

fDate

16-18 April 2010

Firstpage

523

Lastpage

528

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICIME.2010.5478134

Filename

5478134