An Assessment of Testing-Effort Dependent Software Reliability Growth Models

Huang, Chin‐Yu; Kuo, Sy‐Yen; Lyu, Michael R.

doi:10.1109/tr.2007.895301

Cited by 160 publications

(89 citation statements)

References 34 publications

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“…Early researches related SRGM with respect to testing time [3,17]. However, incorporation of testing resources leads to development of more accurate SRGMs [4,5,9,26]. The reason being, the detection of faults are more intimately linked to the amount of resources expended [18,24] on testing as it includes-(a) Manpower, that takes into account  Testing group (malfunction recognition personnel).…”

Section: 'Bmentioning

confidence: 99%

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A study of Optimal Testing Resource Allocation Problem for Modular Software with Change Point

Kaur

Aggarwal

Kedia³

2018

Proceedings of the First International Conference on Information Technology and Knowledge Management

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Abstract-For evolving trustworthy software, engrossing on uncovering process of fault in software is central. Nevertheless, during testing, modifications in the testing routine, defect gravity or testing-skill maturity and working environment, there can be notable change in fault detection rate. When this sort of pattern is observed in testing time it is called change point. In this article, we inquire a resource distribution problem that optimally distributes software developing resources in such a way that the cost of development is curtailed to optimization. In this problem, for all modules the effect of chief circumstantial element of change-point is considered. The constraint of pulling off the desired reliability level for every individual module is also incorporated in the formulation of the problem. A framework based on Karush Kuhn Tucker (KKT) conditions is presented to work out the resulting non-linear optimization problem. A simulated numerical illustration has been analyzed to reflect the formulation of the case and its solution by the algorithm proposed.

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Section: 'Bmentioning

confidence: 99%

“…Huang et al [5] worked with logistic resource function. They established that both exponential-type and S-type NHPP models can come under ideal and imperfect debugging situations.…”

Section:  Debugging Group (Programmers\failure Rectification Personnmentioning

confidence: 99%

A study of Optimal Testing Resource Allocation Problem for Modular Software with Change Point

Kaur

Aggarwal

Kedia³

2018

Proceedings of the First International Conference on Information Technology and Knowledge Management

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“…Results from applying the proposed models to two real data sets are discussed and compared with other traditional SRGM to show that the proposed models can give better predictions and that the logistic testing-effort function is suitable for incorporating directly into both exponential-type and S-shaped software reliability models. Gaurav Aggarwal et al [9] categorized Software Reliability Model into two types, one is static model and the other one is dynamic model. Dynamic models observed that the temporary behaviour of debugging process during testing phase.…”

Section: Literature Surveymentioning

confidence: 99%

Parameter Estimation of Software Reliability Growth Models Using Simulated Annealing Method

Diwaker¹,

Goyat²

2014

IJCATR

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Abstract:The parameter estimation of Goel's Okomotu Model is performed victimisation simulated annealing. The Goel's Okomotu Model is predicated on Exponential model and could be a easy non-homogeneous Poisson method (NHPP) model. Simulated annealing could be a heuristic optimisation technique that provides a method to flee local optima. The information set is optimized using simulated annealing technique. SA could be a random algorithmic program with higher performance than Genetic algorithmic program (GA) that depends on the specification of the neighbourhood structure of a state area and parameter settings for its cooling schedule.

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“…Nowadays, organizations rely on a variety of SRGMs to accurately analyze the software's reliability [2] and to improve the process of software testing. In spite of their success the SRGMs have their own set of problems.…”

Section: Introductionmentioning

confidence: 99%

Design of Generalized Weighted Laplacian Based Quality Assessment for Software Reliability Growth Models

Akana¹,

Divakar²,

Satyanarayana³

2018

IJITCS

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Abstract-The reliability of a software depends on the quality. So, the software growth models require efficient quality assessment procedure. It can be estimated by various parameters. The current paper proposes a novel approach for assessment of quality based on the Generalized Weighted Laplacian (GWL) method. The proposed method evaluates various parameters for detection and removal time. The Mean Value Function (MVF) is then calculated and the quality of the software is estimated, based on the detection of failures. The proposed method is evaluated on process CMMI level 5 project data and the experimental results shows the efficiency of the proposed method.Index Terms-Quality Assessment, Software Reliability Growth Models, residual fault, fault detection rate and NHPP.

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An Assessment of Testing-Effort Dependent Software Reliability Growth Models

Cited by 160 publications

References 34 publications

A study of Optimal Testing Resource Allocation Problem for Modular Software with Change Point

A study of Optimal Testing Resource Allocation Problem for Modular Software with Change Point

Parameter Estimation of Software Reliability Growth Models Using Simulated Annealing Method

Design of Generalized Weighted Laplacian Based Quality Assessment for Software Reliability Growth Models

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