{"title":"An Imperfect SRGM based on NHPP","authors":"Md. Asraful Haque, N. Ahmad","doi":"10.1109/ICIRCA51532.2021.9544959","DOIUrl":null,"url":null,"abstract":"SRGMs (Software Reliability Growth Models) are the probabilistic and statistical models widely used to evaluate software reliability. They explain how the reliability of the software varies over time by investigating failure data as the testing progresses. The paper presents a new SRGM in an imperfect debugging environment. The proposed model considers that with time, the fault detection rate will increase gradually. Also, the new model is tested with a real dataset that is available in public domain and compared the results with seven existing models in terms of four goodness-of-fit criteria.","PeriodicalId":245244,"journal":{"name":"2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIRCA51532.2021.9544959","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

SRGMs (Software Reliability Growth Models) are the probabilistic and statistical models widely used to evaluate software reliability. They explain how the reliability of the software varies over time by investigating failure data as the testing progresses. The paper presents a new SRGM in an imperfect debugging environment. The proposed model considers that with time, the fault detection rate will increase gradually. Also, the new model is tested with a real dataset that is available in public domain and compared the results with seven existing models in terms of four goodness-of-fit criteria.
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基于NHPP的不完善SRGM
软件可靠性增长模型(SRGMs)是一种广泛用于软件可靠性评估的概率和统计模型。他们通过调查测试过程中的故障数据来解释软件的可靠性如何随时间变化。本文提出了一种不完善调试环境下的新型SRGM。该模型考虑了随着时间的推移,故障检出率会逐渐增大。此外,新模型用公共领域的真实数据集进行了测试,并根据四个拟合优度标准将结果与七个现有模型进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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