GDL

Journal from gdlhub / 2018-07-25 15:59:54
Oleh : Jaka Sembiring, Johan P Sipayung, Arry A Arman, Telkomnika
Dibuat : 2018-07-25, dengan 1 file

Keyword : Bayesian Network; Risk Assessment; SEI Taxonomy-Based Identification; Risk Area Category; Risk Exposure
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/7288
Sumber pengambilan dokumen : WEB

This paper describes a new risk assessment model for application development and its implementation. The model is developed using a simple Bayesian network and Boehm’s software risk principles. The Bayesian network is created after mapping top twenty risks in software projects with interrelationship digraph of risk area category. The probability of risk on the network is analyzed and validated using both numerical simulation and subjective probability from several experts in the field and a team of application developers. After obtaining the Bayesian network model, risk exposure is calculated using Boehm's risk principles. Finally, the implementation of the proposed model in a government institution is shown as a real case illustration

Beri Komentar ?#(0) | Bookmark

Properti	Nilai Properti
ID Publisher	gdlhub
Organisasi	Telkomnika
Nama Kontak	Herti Yani, S.Kom
Alamat	Jln. Jenderal Sudirman
Kota	Jambi
Daerah	Jambi
Negara	Indonesia
Telepon	0741-35095
Fax	0741-35093
E-mail Administrator	elibrarystikom@gmail.com
E-mail CKO	elibrarystikom@gmail.com