scholarly journals Bivariate Software Reliability Growth Models under Budget Constraint for Development Management

2019 ◽  
Vol 5 (1) ◽  
pp. 56-65
Author(s):  
Yuka Minamino ◽  
Shinji Inoue ◽  
Shigeru Yamada
Keyword(s):  
Software Reliability ◽  
Growth Models ◽  
Budget Constraint ◽  
Testing Time ◽  
Reliability Growth ◽  
Constant Elasticity ◽  
Testing Effort ◽  
Software Reliability Growth Models ◽  
Substitution Type ◽  
Software Reliability Growth

Software reliability growth is observed by investing not only the testing-time but also the testing-effort in the testing-phase of software development process. If the testing-time (testing-effort) is reduced to some extent, it is possible to observe the software reliability growth by investing the amount of testing-effort (testing-time) which can compensate the insufficiency of the testing-time (testing-effort). However, most of the existing software reliability growth models (SRGMs) are constructed as univariate models and the substitutability between the testing-time and testing-effort is not considered. Additionally, it is necessary to remove many faults efficiently within the budget. In this paper, we develop bivariate Weibull type SRGMs under budget constraint based on the Cobb-Douglas type and CES (constant elasticity of substitution) type testing-time functions. Simultaneously, we evaluate the substitutability between the testing-time and testing-effort factors which are software reliability growth factors. Finally, we conduct the sensitivity analysis and show numerical examples by using actual data sets.

An Assessment of Incorporating Log-Logistic Testing Effort Into Imperfect Debugging Delayed S-Shaped Software Reliability Growth Model

2021 ◽  
Vol 9 (3) ◽  
pp. 23-41
Author(s):  
Nesar Ahmad ◽  
Aijaz Ahmad ◽  
Sheikh Umar Farooq
Keyword(s):  
Software Reliability ◽  
Growth Models ◽  
Least Square ◽  
Model Parameters ◽  
Reliability Growth ◽  
Imperfect Debugging ◽  
Testing Effort ◽  
Software Reliability Growth Models ◽  
Software Reliability Growth ◽  
Effort Function

Software reliability growth models (SRGM) are employed to aid us in predicting and estimating reliability in the software development process. Many SRGM proposed in the past claim to be effective over previous models. While some earlier research had raised concern regarding use of delayed S-shaped SRGM, researchers later indicated that the model performs well when appropriate testing-effort function (TEF) is used. This paper proposes and evaluates an approach to incorporate the log-logistic (LL) testing-effort function into delayed S-shaped SRGMs with imperfect debugging based on non-homogeneous Poisson process (NHPP). The model parameters are estimated by weighted least square estimation (WLSE) and maximum likelihood estimation (MLE) methods. The experimental results obtained after applying the model on real data sets and statistical methods for analysis are presented. The results obtained suggest that performance of the proposed model is better than the other existing models. The authors can conclude that the log-logistic TEF is appropriate for incorporating into delayed S-shaped software reliability growth models.

scholarly journals Optimal Testing Effort Control for Modular Software System Incorporating The Concept of Independent and Dependent Faults: A Control Theoretic Approach

2012 ◽  
Vol 2 (2) ◽  
pp. 129-137
Author(s):  
Kuldeep CHAUDHARY ◽  
P. C. JHA
Keyword(s):  
Software Reliability ◽  
Growth Models ◽  
Budget Constraint ◽  
Software System ◽  
Reliability Growth ◽  
Theoretic Approach ◽  
Testing Effort ◽  
Modular Software ◽  
Software Reliability Growth ◽  
The Cost

In this paper, we discuss modular software system for Software Reliability Growth Models using testing effort and study the optimal testing effort intensity for each module. The main goal is to minimize the cost of software development when budget constraint on testing expenditure is given. We discuss the evolution of faults removal dynamics in incorporating the idea of leading /independent and dependent faults in modular software system under the assumption that testing of each of the modulus is done independently. The problem is formulated as an optimal control problem and the solution to the proposed problem has been obtained by using Pontryagin Maximum Principle.

Two-Dimensional NHPP Models Based on Several Testing-Time Functions and Their Applications

2019 ◽  
Vol 26 (04) ◽  
pp. 1950018 ◽  
Author(s):  
Yuka Minamino ◽  
Shunichi Sakaguchi ◽  
Shinji Inoue ◽  
Shigeru Yamada
Keyword(s):  
Growth Factors ◽  
Growth Factor ◽  
Software Reliability ◽  
Release Time ◽  
Testing Time ◽  
Processing Unit ◽  
Reliability Growth ◽  
Constant Elasticity ◽  
Testing Effort ◽  
Software Reliability Growth

Enormous testing-time and testing-effort (central processing unit (CPU) time, execution time, man-hour, test coverage, executed test case, and so forth) are invested in testing-phase for enhancing software reliability. Although they are software reliability growth factors, existing software reliability growth models (SRGMs) are not introduced simultaneously. Also, the software reliability growth factors enable to substitute each other partly. Therefore, we develop new bivariate nonhomogeneous Poisson process (NHPP) models based on two types of testing-time functions in this paper. Concretely, we assume that the testing-time as a software reliability growth factor is composed of the testing-time and testing-effort factors. Then, the testing-time as the software reliability growth factor is expressed by the Cobb–Douglas and constant elasticity of substitution (CES) type testing-time functions. We conduct goodness-of-fit comparisons of existing models with proposed bivariate models. Also, we discuss estimation method of the optimal software release time and optimal amount of testing-effort as an application. Finally, we show numerical examples by using actual datasets.

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