@article{
 title = {BBN-based software project risk management},
 type = {article},
 year = {2004},
 keywords = {BBN (Bayesian Belief Network),Risk profile,Software project risk management,Uncertainty},
 pages = {193-203},
 volume = {73},
 websites = {http://www.sciencedirect.com/science/article/pii/S0164121203003364},
 month = {10},
 id = {a5aedebf-53ae-3a81-a845-68721af057ce},
 created = {2015-04-11T18:33:34.000Z},
 accessed = {2015-04-11},
 file_attached = {false},
 profile_id = {95e10851-cdf3-31de-9f82-1ab629e601b0},
 group_id = {35f66ed6-398e-3964-901f-42a3a90aaf10},
 last_modified = {2017-03-14T14:28:30.967Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {This paper presents a scheme to incorporate BBNs (Bayesian belief networks) in software project risk management. A theoretical model is defined to provide insights into risk management. Based on these insights, we have developed a BBN-based procedure using a feedback loop to predict potential risks, identify sources of risks, and advise dynamic resource adjustment. This approach facilitates the visibility and repeatability of the decision-making process of risk management. Both analytical and simulated cases are reported.},
 bibtype = {article},
 author = {Fan, Chin-Feng and Yu, Yuan-Chang},
 doi = {10.1016/j.jss.2003.12.032},
 journal = {Journal of Systems and Software},
 number = {2}
}

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