scholarly journals A New Software Reliability Growth Model: Multigeneration Faults and a Power-Law Testing-Effort Function

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Fan Li ◽  
Ze-Long Yi
Keyword(s):  
Power Law ◽  
Software Reliability ◽  
Growth Models ◽  
Software Systems ◽  
Failure Behavior ◽  
Reliability Growth ◽  
Real World Data ◽  
Testing Effort ◽  
Software Reliability Growth ◽  
Effort Effect

Software reliability growth models (SRGMs) based on a nonhomogeneous Poisson process (NHPP) are widely used to describe the stochastic failure behavior and assess the reliability of software systems. For these models, the testing-effort effect and the fault interdependency play significant roles. Considering a power-law function of testing effort and the interdependency of multigeneration faults, we propose a modified SRGM to reconsider the reliability of open source software (OSS) systems and then to validate the model’s performance using several real-world data. Our empirical experiments show that the model well fits the failure data and presents a high-level prediction capability. We also formally examine the optimal policy of software release, considering both the testing cost and the reliability requirement. By conducting sensitivity analysis, we find that if the testing-effort effect or the fault interdependency was ignored, the best time to release software would be seriously delayed and more resources would be misplaced in testing the software.

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 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.

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.

CONSIDERING TESTING EFFICIENCY AND TESTING RESOURCE CONSUMPTION VARIATIONS IN ESTIMATING SOFTWARE RELIABILITY

2008 ◽  
Vol 15 (02) ◽  
pp. 77-91 ◽  
Author(s):  
ANSHU GUPTA ◽  
REECHA KAPUR ◽  
P. C. JHA
Keyword(s):  
Software Testing ◽  
Software Reliability ◽  
Growth Models ◽  
Real Life ◽  
Resource Consumption ◽  
Experimental Result ◽  
Reliability Growth ◽  
Testing Effort ◽  
Software Reliability Growth ◽  
Testing Efficiency

Advances in software technologies have promoted the growth of computer-related applications to a great extent. Building quality in terms of reliability of the software has become one of the main issues for software developers. Software testing is necessary to build highly reliable software. Monitoring and controlling the resource utilization, measuring and controlling the progress of testing, efficiency of testing and debugging personals and reliability growth are important for effective management the testing phase and meeting the quality objectives. Over the past 35 years many Software reliability growth models (SRGM) are proposed to accomplish the above-mentioned activities related to the software testing. From the literature it appears that most of the SRGM do not account the changes in the testing effort consumption. During the testing process especially in the beginning and towards the end of the testing frequent changes are observed in testing resource consumption due to changes in testing strategy, team constitution, schedule pressures etc. Apart from this testing efficiency plays a major role determining the progress of the testing process. In this paper we incorporate the important concept of testing resource consumption variations for Weibull type testing effort functions and testing efficiency in software reliability growth modeling. The performance of the proposed models is demonstrated through two real life data sets existing in literature. The experimental result shows fairly accurate estimating capabilities of the proposed models.

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