TY - JOUR
T1 - Generalized Software Reliability Model Considering Uncertainty and Dynamics
T2 - Model and Applications
AU - Honda, Kiyoshi
AU - Washizaki, Hironori
AU - Fukazawa, Yoshiaki
N1 - Funding Information:
This work was also supported by JSPS KAKENHI Grants Nos. 25330091 and 16H02804.
Publisher Copyright:
© 2017 World Scientific Publishing Company.
PY - 2017/8/1
Y1 - 2017/8/1
N2 - Today's development environment has changed drastically; the development periods are shorter than ever and the number of team members has increased. Consequently, controlling the activities and predicting when a development will end are difficult tasks. To adapt to changes, we propose a generalized software reliability model (GSRM) based on a stochastic process to simulate developments, which include uncertainties and dynamics such as unpredictable changes in the requirements and the number of team members. We assess two actual datasets using our formulated equations, which are related to three types of development uncertainties by employing simple approximations in GSRM. The results show that developments can be evaluated quantitatively. Additionally, a comparison of GSRM with existing software reliability models confirms that the approximation by GSRM is more precise than those by existing models.
AB - Today's development environment has changed drastically; the development periods are shorter than ever and the number of team members has increased. Consequently, controlling the activities and predicting when a development will end are difficult tasks. To adapt to changes, we propose a generalized software reliability model (GSRM) based on a stochastic process to simulate developments, which include uncertainties and dynamics such as unpredictable changes in the requirements and the number of team members. We assess two actual datasets using our formulated equations, which are related to three types of development uncertainties by employing simple approximations in GSRM. The results show that developments can be evaluated quantitatively. Additionally, a comparison of GSRM with existing software reliability models confirms that the approximation by GSRM is more precise than those by existing models.
KW - Software reliability models
KW - fault prediction
KW - project management
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U2 - 10.1142/S021819401750036X
DO - 10.1142/S021819401750036X
M3 - Article
AN - SCOPUS:85026788997
SN - 0218-1940
VL - 27
SP - 967
EP - 993
JO - International Journal of Software Engineering and Knowledge Engineering
JF - International Journal of Software Engineering and Knowledge Engineering
IS - 6
ER -