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Enhancing Software Reliability Growth Modeling: Integrating Fault Severity Assessment with Multiple TEF.

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Title: Enhancing Software Reliability Growth Modeling: Integrating Fault Severity Assessment with Multiple TEF.
Authors: Kushwaha, Shivani1 (AUTHOR) shivanik@iiitm.ac.in, Kumar, Ajay1 (AUTHOR) ajayfma@iiitm.ac.in
Source: International Journal of Reliability, Quality & Safety Engineering. Dec2024, Vol. 31 Issue 6, p1-17. 17p.
Subjects: Conformance testing, Research personnel, Teff, Scheduling, Computer software, Software reliability
Abstract: The size and complexity of software products have expanded significantly, prompting researchers to focus on quality assessment by quantitatively assessing software product's reliability growth. Several time dependent software reliability growth models (SRGMs) have been produced and are available in this regard. The authors evaluated errors of varied severity, but they believed that low severity faults would be repaired first, followed by high severity faults. Furthermore, the authors assumed in the change point model that the team changed their strategy, i.e., the fault detection rate changed after a particular time but making a plan and executing that strategy takes a long time, and as a result, the industry confronts a delay in software launching. As a result, two fault categories (low and high severity) are considered in this study, and two types of testing effort function (TEF) related to fault detection rate are presented to detect and fix them. Because parameters have such a large impact on model performance, their sensitivity is also investigated. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Reliability, Quality & Safety Engineering is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Enhancing Software Reliability Growth Modeling: Integrating Fault Severity Assessment with Multiple TEF.
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  Data: <searchLink fieldCode="AR" term="%22Kushwaha%2C+Shivani%22">Kushwaha, Shivani</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> shivanik@iiitm.ac.in</i><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Ajay%22">Kumar, Ajay</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ajayfma@iiitm.ac.in</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Reliability%2C+Quality+%26+Safety+Engineering%22">International Journal of Reliability, Quality & Safety Engineering</searchLink>. Dec2024, Vol. 31 Issue 6, p1-17. 17p.
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  Data: <searchLink fieldCode="DE" term="%22Conformance+testing%22">Conformance testing</searchLink><br /><searchLink fieldCode="DE" term="%22Research+personnel%22">Research personnel</searchLink><br /><searchLink fieldCode="DE" term="%22Teff%22">Teff</searchLink><br /><searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Software+reliability%22">Software reliability</searchLink>
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  Label: Abstract
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  Data: The size and complexity of software products have expanded significantly, prompting researchers to focus on quality assessment by quantitatively assessing software product's reliability growth. Several time dependent software reliability growth models (SRGMs) have been produced and are available in this regard. The authors evaluated errors of varied severity, but they believed that low severity faults would be repaired first, followed by high severity faults. Furthermore, the authors assumed in the change point model that the team changed their strategy, i.e., the fault detection rate changed after a particular time but making a plan and executing that strategy takes a long time, and as a result, the industry confronts a delay in software launching. As a result, two fault categories (low and high severity) are considered in this study, and two types of testing effort function (TEF) related to fault detection rate are presented to detect and fix them. Because parameters have such a large impact on model performance, their sensitivity is also investigated. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Reliability, Quality & Safety Engineering is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1142/S0218539324500359
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 1
    Subjects:
      – SubjectFull: Conformance testing
        Type: general
      – SubjectFull: Research personnel
        Type: general
      – SubjectFull: Teff
        Type: general
      – SubjectFull: Scheduling
        Type: general
      – SubjectFull: Computer software
        Type: general
      – SubjectFull: Software reliability
        Type: general
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      – TitleFull: Enhancing Software Reliability Growth Modeling: Integrating Fault Severity Assessment with Multiple TEF.
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            NameFull: Kushwaha, Shivani
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              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
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            – TitleFull: International Journal of Reliability, Quality & Safety Engineering
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