Osamu Mizuno,Eijiro Shigematsu,Yasunari Takagi,Tohru Kikuno
In the practical software development, software quality is generally
evaluated by the number of residual defects. To keep the number of
residual defects within a permissible value, too much effort is
often assigned to software testing.
In this paper, we try to develop a statistical model to determine
the amount of testing effort which is needed to assure the field
quality. The model explicitly includes design, review, and test
(including debug) activities.
Firstly, we construct a linear multiple regression model that can
clarify the relationship among the number of residual defects and
the efforts assigned to design, review, and test activities. We then
confirm the applicability of the model by statistical analysis using
actual project data.
Next, we obtain an equation based on the model to determine the test
effort. As parameters in the equation, the permissible number of
residual defects, the design effort, and the review effort are
included. Then, the equation determines the test effort that is
needed to assure the permissible residual defects. Finally, we
conduct an experimental evaluation using actual project data and
show the usefulness of the equation.
45%, 33/73
Osamu Mizuno,Eijiro Shigematsu,Yasunari Takagi,Tohru Kikuno
Osamu Mizuno,Eijiro Shigematsu,Yasunari Takagi,Tohru Kikuno
Proc. of 13th International Symposium on Software Reliability Engineering (ISSRE2002)
138
11
Annapolis, MD, USA.
139-146
1
On estimating testing effort needed to assure field quality in software development
2002
Osamu Mizuno,Shinji Kusumoto,Tohru Kikuno,Yasunari Takagi,Keishi Sakamoto
In order to manage software projects quantitatively, we have
presented a new model for software project based on Generalized
Stochastic Petri-net model which can take influence of human factors
into account, and we have already developed software project simulator
based on GSPN model. This paper proposes methods for calculating model
parameters in the new model and estimating the number of faults in the
design and debug phases of software process. Then we present
experimental evaluation of proposed method using a data of actual
software development project on a certain company. As the result of
case study, we confirmed its effectiveness with respect to estimating
the number of faults in the software process.
Osamu Mizuno,Shinji Kusumoto,Tohru Kikuno,Yasunari Takagi,Keishi Sakamoto
Osamu Mizuno,Shinji Kusumoto,Tohru Kikuno,Yasunari Takagi,Keishi Sakamoto
Proc. of the 6th Asian Test Symposium (ATS97)
97
11
Akita, Japan.
269-274
1
Estimating the number of faults using simulator based on generalized stochastic Petri-net Model
1997