BBN Construction for Software Process Tailoring

Wan-Hui TSENG; Chin-Feng FAN

doi:10.1093/ietisy/e90-d.3.648

BBN Construction for Software Process Tailoring

Wan-Hui TSENG, Chin-Feng FAN

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Tailoring industrial standards is done to reduce costs and improve quality for a particular project. This paper proposes using Bayesian Belief Network (BBN) analysis to support tailoring decision-making under uncertainties. However, there are two major problems associated with the objectivity of BBNs; that is, the construction of the causal inference diagrams and the assignment of probabilities of their dependency relations. We have developed a method to solve the first problem. In general, the relations among different activities, resources, and products addressed in software standards can be expressed more directly in Unified Modeling Language (UML) diagrams than in BBN's. Such relations include association, aggregation, or inheritance relations. We have developed a schema to construct BBNs for process tailoring from given UML diagrams that model a particular standard. The proposed approach systematically constructing BBNs can also be used to assist decision-making in other software project management activities, such as planning and risk management.

Publication: IEICE TRANSACTIONS on Information Vol.E90-D No.3 pp.648-655

Publication Date: 2007/03/01

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Online ISSN: 1745-1361

DOI: 10.1093/ietisy/e90-d.3.648

Type of Manuscript: PAPER

Category: Software Engineering

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Wan-Hui TSENG, Chin-Feng FAN, "BBN Construction for Software Process Tailoring" in IEICE TRANSACTIONS on Information, vol. E90-D, no. 3, pp. 648-655, March 2007, doi: 10.1093/ietisy/e90-d.3.648.
Abstract: Tailoring industrial standards is done to reduce costs and improve quality for a particular project. This paper proposes using Bayesian Belief Network (BBN) analysis to support tailoring decision-making under uncertainties. However, there are two major problems associated with the objectivity of BBNs; that is, the construction of the causal inference diagrams and the assignment of probabilities of their dependency relations. We have developed a method to solve the first problem. In general, the relations among different activities, resources, and products addressed in software standards can be expressed more directly in Unified Modeling Language (UML) diagrams than in BBN's. Such relations include association, aggregation, or inheritance relations. We have developed a schema to construct BBNs for process tailoring from given UML diagrams that model a particular standard. The proposed approach systematically constructing BBNs can also be used to assist decision-making in other software project management activities, such as planning and risk management.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.3.648/_p

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@ARTICLE{e90-d_3_648,
author={Wan-Hui TSENG, Chin-Feng FAN, },
journal={IEICE TRANSACTIONS on Information},
title={BBN Construction for Software Process Tailoring},
year={2007},
volume={E90-D},
number={3},
pages={648-655},
abstract={Tailoring industrial standards is done to reduce costs and improve quality for a particular project. This paper proposes using Bayesian Belief Network (BBN) analysis to support tailoring decision-making under uncertainties. However, there are two major problems associated with the objectivity of BBNs; that is, the construction of the causal inference diagrams and the assignment of probabilities of their dependency relations. We have developed a method to solve the first problem. In general, the relations among different activities, resources, and products addressed in software standards can be expressed more directly in Unified Modeling Language (UML) diagrams than in BBN's. Such relations include association, aggregation, or inheritance relations. We have developed a schema to construct BBNs for process tailoring from given UML diagrams that model a particular standard. The proposed approach systematically constructing BBNs can also be used to assist decision-making in other software project management activities, such as planning and risk management.},
keywords={},
doi={10.1093/ietisy/e90-d.3.648},
ISSN={1745-1361},
month={March},}

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TY - JOUR
TI - BBN Construction for Software Process Tailoring
T2 - IEICE TRANSACTIONS on Information
SP - 648
EP - 655
AU - Wan-Hui TSENG
AU - Chin-Feng FAN
PY - 2007
DO - 10.1093/ietisy/e90-d.3.648
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2007
AB - Tailoring industrial standards is done to reduce costs and improve quality for a particular project. This paper proposes using Bayesian Belief Network (BBN) analysis to support tailoring decision-making under uncertainties. However, there are two major problems associated with the objectivity of BBNs; that is, the construction of the causal inference diagrams and the assignment of probabilities of their dependency relations. We have developed a method to solve the first problem. In general, the relations among different activities, resources, and products addressed in software standards can be expressed more directly in Unified Modeling Language (UML) diagrams than in BBN's. Such relations include association, aggregation, or inheritance relations. We have developed a schema to construct BBNs for process tailoring from given UML diagrams that model a particular standard. The proposed approach systematically constructing BBNs can also be used to assist decision-making in other software project management activities, such as planning and risk management.
ER -