Maximum-Likelihood Estimation of Parameters of NHPP Software Reliability Models Using Expectation Conditional Maximization Algorithm

Zeephongsekul, Panlop; Jayasinghe, Chathuri L.; Fiondella, Lance; Nagaraju, Vidhyashree

doi:10.1109/tr.2016.2570557

Cited by 35 publications

(13 citation statements)

References 12 publications

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“…• Program complexity models based on the relationship between the software complexity metrics and program quality, reliability, and safety parameters It should be noted that the latter three classes of test models are rather well developed 2 [3][4][5][6][7][8][9][10][11][12][13][14]. For example, today, about 200 time models are known, mainly, NHPP models (e.g., [15][16][17][18][19][20][21]). At the same time, debugging models (also known as reliability growth models based on input data areas and revisions) are usually related only to Nelson's model and its modifications [22] developed at the dawn of the programming theory and do not reflect peculiarities of the modern team software development methods.…”

Section: Non-monotonic Models Of Software Reliability and Security Evmentioning

confidence: 99%

Models for Testing Modifiable Systems

Markov¹,

Barabanov²,

Tsirlov³

2018

Probabilistic Modeling in System Engineering

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The work describes reliability and security growth models for modifiable software systems as a result of revisions and tests performed for specified input data areas. The work shows that the known reliability growth models are of monotonically increasing type, which is not in line with current multi-version team technologies of software development that are primarily based on the open-source code. The authors suggest new nonmonotonically increasing models of software reliability evaluation and planning that allow taking into account the effect of decreased reliability resulting from updates or wavefront errors. The work describes the elaborated bigeminal and generic reliability evaluation model as well as the models and test planning procedures. The work includes calculated expressions for the evaluation of the model accuracy and shows that the developed models are adequate to real data. An example is given of transition from probability models to fuzzy models in case of incomplete basic data. The work provides general recommendations for selection of software tool testing models.

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Section: Non-monotonic Models Of Software Reliability and Security Evmentioning

confidence: 99%

Models for Testing Modifiable Systems

Markov¹,

Barabanov²,

Tsirlov³

2018

Probabilistic Modeling in System Engineering

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“…Two commonly used methods for parameter estimation in a NHPP model are the Maximum Likelihood (ML) and Least Squares (LS) estimation methods (Knafl, 1992;Lyu, 1996;Zhao and Xie, 1996;Musa, 1999;Chang, 2001;Prasad et al, 2011;Rana et al, 2013;Zeephongsekul et al, 2016). In this section, the ML and NLS estimation methods will be applied to the NHPP LL model.…”

Section: Estimation Of the Nhpp Ll Model's Parametersmentioning

confidence: 99%

Characteristics and Application of the NHPP Log-Logistic Reliability Model

turk¹

2018

IJSP

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In this paper, a Nonhomogeneous Poisson Process (NHPP) reliability model based on the two-parameter Log-Logistic (LL) distribution is considered. The essential model’s characteristics are derived and represented graphically. The parameters of the model are estimated by the Maximum Likelihood (ML) and Non-linear Least Square (NLS) estimation methods for the case of time domain data. An application to show the flexibility of the considered model are conducted based on five real data sets and using three evaluation criteria. We hope this model will help as an alternative model to other useful reliability models for describing real data in reliability engineering area.

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“…Approval of mandatory requirements for formalizing the results of compliance assessment of high-confidence information protection software [1] lent relevance to the use of mathematical models for assessing IS software performance reliability and safety. Although studies into mathematical models for software reliability assessment were first undertaken back in the second half of the last century [2,3], these issues remain relevant nowadays [4][5][6][7][8][9][10][11][12][13][14][15][16]. All this relates both to software manufacturing technologies (for example, open source software) and to newly introduced international standards in the software engineering and information security area (ISO/IEC 15408, ISO/IEC 33001, IEC 61508, IEC 61511 etc.)…”

Section: Introductionmentioning

confidence: 99%

Simulation of Software Security Tests by Soft Computational Methods

Markov¹,

Markov²,

Tsirlov³

2019

Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Clo

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The worth of the using of software performance reliability assessment models at early testing stages is shown. The characteristic property of nonmonotonic increasing of performance reliability of current software systems is underscored. Ways of enhancing adequacy and fidelity of software testing simulation are exemplified. The conditions of using of soft computing for assessing the reliability and security of information systems software are shown.

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Maximum-Likelihood Estimation of Parameters of NHPP Software Reliability Models Using Expectation Conditional Maximization Algorithm

Cited by 35 publications

References 12 publications

Models for Testing Modifiable Systems

Models for Testing Modifiable Systems

Characteristics and Application of the NHPP Log-Logistic Reliability Model

Simulation of Software Security Tests by Soft Computational Methods

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