EconPapers    
Economics at your fingertips  
 

Identification of Critical Risk Factors in Software Project Risk Management

Guo-ping Jiang () and Ming-chi Lin
Additional contact information
Guo-ping Jiang: Naval University of Engineering
Ming-chi Lin: Naval University of Engineering

Chapter Chapter 112 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 1065-1073 from Springer

Abstract: Abstract The most important function of software metrics is to support quantitative decision of software project management. In this paper, we focus on identification of the most critical risk factors in software project risk management framework based on metrics and Bayesian network. Sensitivity analysis can be performed to study how sensitive the risk node’s probability is according to small changes of probability parameters in the risk BN. For a risk BN of known structure and probability parameters, we first estimate the most probable risk scenario, and then perform sensitivity analysis for the risk node. After we find the critical risk factors, concentrate on these factors in risk monitoring and control process.

Keywords: Bayesian network; Critical risk factors; Most probable explanation; Software metrics; Sensitivity analysis (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38433-2_112

Ordering information: This item can be ordered from
http://www.springer.com/9783642384332

DOI: 10.1007/978-3-642-38433-2_112

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-23
Handle: RePEc:spr:sprchp:978-3-642-38433-2_112