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

Nishio, Yasuhiko; Shinohara, Yasuhide; Osaki, Shunji

doi:10.1002/(sici)1520-6440(200008)83:8<10::aid-ecjc2>3.0.co;2-c

Cited by 2 publications

(3 citation statements)

References 9 publications

(13 reference statements)

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“…P.K. Kapur et al [23] Optimal control theory optimal resource allocation to minimize the software cost during testing and operational phase Dohi, T., Nishio, Y., and Osaki and S [26] Artificial Neural Networks Optimal software release timing which minimizes the appropriate cost criterion Chiang and Mookerjee [27] learning curve phenomenon discussed the sequential software release policy based on a state space model Jain, M. and Priya, K [32] Mathematical Model Solved software release problem to minimize development cost while satisfying a reliability objective in dynamic environment. P. K. Kapur, Anu G. Aggarwal and Gurjeet Kaur [35] Developed model using Cobb Douglas production function Two-dimensional software reliability growth model which takes into consideration both these factors in predicting number of faults removed from software.…”

Section: Author Technique Used Highlightsmentioning

confidence: 99%

Software Testing Resource Allocation and Release Time Problem: A Review

Nasar¹,

Johri²,

Chanda³

2014

IJMECS

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Software testing Resource allocation and release time decisions are vital for the software systems. The objective behind such critical decisions may differ from firm to firm. The motive of the firm may be maximization of software reliability or maximization of number of faults to be removed from each module or it may be minimization of number of faults remaining in the software or minimization of testing resources. Taking into consideration these different aims, various authors have investigated the problem of resource allocation and release time problem. In this paper we investigate various software release policies and resource allocation problem, for example, policies based on the dual constraints of cost and reliability.

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Section: Author Technique Used Highlightsmentioning

confidence: 99%

Software Testing Resource Allocation and Release Time Problem: A Review

Nasar¹,

Johri²,

Chanda³

2014

IJMECS

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“…In this paper, we pay our attention to formulate a JQME 4,4 238 different problem under the expected cost rate. In this case, notice that the method to estimate the optimal solution has a different graphical structure from an earlier one by Dohi et al (1998) .…”

Section: Introductionmentioning

confidence: 99%

“…The purpose of the present paper is to develop a new method to estimate the optimal software release time which minimizes the expected cost rate, applying artificial neural networks. In an earlier paper by Dohi et al (1998), we considered the software release problem under the simple expected total software cost criterion. In this paper, we pay our attention to formulate a JQME 4,4 238 different problem under the expected cost rate.…”

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

Cited by 2 publications

References 9 publications

Software Testing Resource Allocation and Release Time Problem: A Review

Software Testing Resource Allocation and Release Time Problem: A Review

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

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