基于杜鹃搜索优化、经验模态分解和ARIMA模型的软件可靠性预测:CS-EEMD-ARIMA的SRGM

Q4 Computer Science

International Journal of Open Source Software and Processes Pub Date : 2016-10-01 DOI:10.4018/IJOSSP.2016100103

Ankur Choudhary, A. Baghel

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引用次数: 2

摘要

Thedemandofhighlyreliableandsuperiorqualityopensourcesoftware 'sareincreasing daybyday。Thisdemandforcesoftwaredeveloperstoimprovisethereliabilityoftheir软件的。Authorshaveproposedseveralparametricandnon-parametricsoftware reliabilitymodelsbuttheyhavetheirownlimitations，likeparametricmodelsuffer fromunrealisticmodelassumptions，operatingenvironmentconditiondependencies。Incontrasttoparametric，non-parametricmodelsovercometheseissuesbuttheyare computationallycostlier。So，thescopeofoptimizationordevelopmentofnewreliable model仍然存在。这篇论文提出了一种有效的软件可靠性建模方法，该方法基于cuckoosearch优化，ensembleexperiicalmodedecomposition andARIMAmodelingoftimeseriestoprovidemoreaccurateprediction。Extensive experimentson5realdatasetsisconductedandresultsarecollected。Theanalysisof resultsindicatesthesuperiorityofproposedtechniqueoverexistingparametricand non-parametricmodelsforopensourcesoftware 'sandproprietysoftware 's。关键词:ARIMA，布谷鸟搜索优化，EEMD，软件可靠性增长模型，时间序列模型

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Software Reliability Prediction Using Cuckoo Search Optimization, Empirical Mode Decomposition, and ARIMA Model: CS-EEMD-ARIMA Based SRGM

Thedemandofhighlyreliableandsuperiorqualityopensourcesoftware’sareincreasing daybyday.Thisdemandforcesoftwaredeveloperstoimprovisethereliabilityoftheir software’s.Authorshaveproposedseveralparametricandnon-parametricsoftware reliabilitymodelsbuttheyhavetheirownlimitations,likeparametricmodelsuffer fromunrealisticmodelassumptions,operatingenvironmentconditiondependencies. Incontrasttoparametric,non-parametricmodelsovercometheseissuesbuttheyare computationallycostlier.So,thescopeofoptimizationordevelopmentofnewreliable model still exists. This paper presents an effective software reliability modeling based on Cuckoo Search optimization, Ensemble Empirical Mode Decomposition andARIMAmodelingoftimeseriestoprovidemoreaccurateprediction.Extensive experimentson5realdatasetsisconductedandresultsarecollected.Theanalysisof resultsindicatesthesuperiorityofproposedtechniqueoverexistingparametricand non-parametricmodelsforopensourcesoftware’sandproprietysoftware’s. KEywORDS ARIMA, Cuckoo Search Optimization, EEMD, Software Reliability Growth Model, Time Series Model

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来源期刊

International Journal of Open Source Software and Processes Computer Science-Software

CiteScore

1.90

自引率

0.00%

发文量

期刊介绍： The International Journal of Open Source Software and Processes (IJOSSP) publishes high-quality peer-reviewed and original research articles on the large field of open source software and processes. This wide area entails many intriguing question and facets, including the special development process performed by a large number of geographically dispersed programmers, community issues like coordination and communication, motivations of the participants, and also economic and legal issues. Beyond this topic, open source software is an example of a highly distributed innovation process led by the users. Therefore, many aspects have relevance beyond the realm of software and its development. In this tradition, IJOSSP also publishes papers on these topics. IJOSSP is a multi-disciplinary outlet, and welcomes submissions from all relevant fields of research and applying a multitude of research approaches.