Comparisons of optimal release policies for software systems

Shinohara, Yasuhide; Osaki, Shunji

doi:10.1016/s0360-8352(97)00244-1

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…Koch and Kubat (1983) discussed the similar minimization problem where the Jelinski and Moranda (1972) model was assumed as the underlying SRGM. Since these seminal contributions, many authors formulated different software release problems and obtained the optimal software release policies (see Yamada et al 1984Yamada et al , 1990Yamada and Osaki, 1985a, 1985bBai and Yun, 1988;Dalal and Mallows, 1988;Kapur and Garg, 1989, 1990a, 1990b, 1991a, 1991bOhtera and Yamada, 1990;Shinohara et al, 1997;Dohi et al, 1997Dohi et al, , 1999.…”

Section: Introductionmentioning

confidence: 99%

Determination of the optimal software release time based on proportional hazards software reliability growth models

Nishio

2003

Journal of Quality in Maintenance Engineering

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The software reliability models to describe the reliability growth phenomenon are formulated by any stochastic point process with state-dependent or time-dependent intensity function. On the other hand, to deal with the environmental data, which consists of covariates influencing times to software failure, it may be useful to apply the Cox's proportional hazards model for assessing the software reliability. In this paper, we review the proportional hazards software reliability models and discuss the problem to determine the optimal software release time under the expected total software cost criterion. Numerical examples are devoted to examine the dependence of the covariate structure in both the software reliability prediction and the optimal software release decision. Practical implicationThe proportional hazards software reliability models are enhanced stochastic models to describe the software reliability growth phenomenon. The results obtained in this paper will be useful to design the software testing process in terms of the expected total software cost and to predict the release timing of software products to the market, taking account of the covariate data influencing times to software failure. Also, these results can provide a flexible tool on the decision making for software engineers, software scientists and software managers in the development company.

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Section: Introductionmentioning

confidence: 99%

Determination of the optimal software release time based on proportional hazards software reliability growth models

Nishio

2003

Journal of Quality in Maintenance Engineering

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“…Generally this type of problem is called the optimal software release problem, where the release time which minimizes the total software cost is estimated. Okumoto and Goel [5], Koch and Kubat [6], Yamada and Osaki [7,8], Yamada and colleagues [911], and Shinohara and colleagues [12] have presented detailed discussions of the optimal software release problem based on software reliability growth models © 2000 Scripta Technica Electronics and Communications in Japan, Part 3, Vol. 83, No.…”

Section: Introductionmentioning

confidence: 99%

Geometrical solution methods for an optimal software release problem using artificial neural networks

Nishio

Shinohara

Osaki

2000

Electron. Comm. Jpn. Pt. III

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“…This problem, called the optimal software release problem, has also been discussed by many authors (e.g. Koch and Kubat, 1983;Okumoto and Goel, 1980;Shinohara et al, 1997; The software release problem was first considered by Okumoto and Goel (1980). Assuming the so-called exponential SRGM by Goel and Okumoto (1979), they formulated the total expected software cost and derived the optimal software release An optimal software release problem time to minimize it.…”

Section: Introductionmentioning

confidence: 99%

“…Koch and Kubat (1983) analyzed a similar problem under the SRGM by Jelinski and Moranda (1972). and Shinohara et al (1997) extended these models in terms of various points. However, it should be noted that the earlier works mentioned above describe the problem by assuming any SRGM and solve the minimization problems for the expected total software cost.…”

Section: Introductionmentioning

confidence: 99%

An optimal software release problem under cost rate criterion: artificial neural network approach

Shinohara

Nishio²,

Osaki³

1998

Journal of Quality in Maintenance Engineering

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The determination of the release schedule for a new software product is the most important issue for designing and controlling a software development process. In fact, the optimal software release problem based on some software reliability growth models has been studied by many authors. In this paper, we propose a new method to estimate the optimal software release time under an alternative cost criterion. More precisely, two kinds of artificial neural networks are used to estimate the fault‐detection time observed in both testing and operation phases. As a cost criterion, we adopt the expected cost rate (the expected total software cost per unit testing time). Then, it is shown that the optimization problem to obtain the optimal release time can be reduced to a graphical one to minimize the tangent slope from a point to an (estimated) empirical curve in two‐dimensional space. Through numerical examples using actual fault‐detection time data, it is illustrated that the method proposed is a very useful device to estimate the optimal software release time precisely.

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Comparisons of optimal release policies for software systems

Cited by 6 publications

References 7 publications

Determination of the optimal software release time based on proportional hazards software reliability growth models

Determination of the optimal software release time based on proportional hazards software reliability growth models

Geometrical solution methods for an optimal software release problem using artificial neural networks

An optimal software release problem under cost rate criterion: artificial neural network approach

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