Understanding the Impact of Changes in Application Characteristics on SRGM.

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Title: Understanding the Impact of Changes in Application Characteristics on SRGM.
Authors: Arora, Rajat1 (AUTHOR) arorarajat87@yahoo.com, Mittal, Rubina2 (AUTHOR) drmittal@keshav.du.ac.in, Anand, Sameer1 (AUTHOR) sananddu@gmail.com, Kapur, P. K.3 (AUTHOR) pkkapur1@gmail.com
Source: International Journal of Reliability, Quality & Safety Engineering. Jun2024, Vol. 31 Issue 3, p1-17. 17p.
Subjects: Software reliability, Debugging, Computer software testing, Application software, Resource allocation, Computer software, Expertise
Abstract: Due to the increasing reliance on technology in nearly every industry over the past three decades, it has become necessary to evaluate the performance of a software product prior to its formal release in the market. The properties of a software application, such as its complexity and lines of code, are subject to change over time as a result of factors namely the testing environment, allocation of resources, testing efficiency, and testing team's expertise. The assumption of constant Fault Detection Rate (FDR) may not accurately anticipate the  potential number of bugs correctly. Keeping all these considerations in mind, a framework is developed to incorporate change point in the development of a testing effort-based Software Reliability Growth Model (SRGM) that takes into account the effect of application characteristics under both perfect and imperfect debugging settings. In addition, these outcomes are compared to the model without a change point. The proposed model is validated on two real-life software fault datasets. The results demonstrate that the proposed model performs better than the model without a change point. [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: Understanding the Impact of Changes in Application Characteristics on SRGM.
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  Data: <searchLink fieldCode="AR" term="%22Arora%2C+Rajat%22">Arora, Rajat</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> arorarajat87@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Mittal%2C+Rubina%22">Mittal, Rubina</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> drmittal@keshav.du.ac.in</i><br /><searchLink fieldCode="AR" term="%22Anand%2C+Sameer%22">Anand, Sameer</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sananddu@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kapur%2C+P%2E+K%2E%22">Kapur, P. K.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> pkkapur1@gmail.com</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>. Jun2024, Vol. 31 Issue 3, p1-17. 17p.
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  Data: <searchLink fieldCode="DE" term="%22Software+reliability%22">Software reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Debugging%22">Debugging</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+testing%22">Computer software testing</searchLink><br /><searchLink fieldCode="DE" term="%22Application+software%22">Application software</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+allocation%22">Resource allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Expertise%22">Expertise</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Due to the increasing reliance on technology in nearly every industry over the past three decades, it has become necessary to evaluate the performance of a software product prior to its formal release in the market. The properties of a software application, such as its complexity and lines of code, are subject to change over time as a result of factors namely the testing environment, allocation of resources, testing efficiency, and testing team's expertise. The assumption of constant Fault Detection Rate (FDR) may not accurately anticipate the  potential number of bugs correctly. Keeping all these considerations in mind, a framework is developed to incorporate change point in the development of a testing effort-based Software Reliability Growth Model (SRGM) that takes into account the effect of application characteristics under both perfect and imperfect debugging settings. In addition, these outcomes are compared to the model without a change point. The proposed model is validated on two real-life software fault datasets. The results demonstrate that the proposed model performs better than the model without a change point. [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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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1142/S0218539324500116
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      – Code: eng
        Text: English
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        PageCount: 17
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      – SubjectFull: Software reliability
        Type: general
      – SubjectFull: Debugging
        Type: general
      – SubjectFull: Computer software testing
        Type: general
      – SubjectFull: Application software
        Type: general
      – SubjectFull: Resource allocation
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      – SubjectFull: Computer software
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      – SubjectFull: Expertise
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      – TitleFull: Understanding the Impact of Changes in Application Characteristics on SRGM.
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            NameFull: Arora, Rajat
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            NameFull: Mittal, Rubina
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            NameFull: Anand, Sameer
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            NameFull: Kapur, P. K.
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              M: 06
              Text: Jun2024
              Type: published
              Y: 2024
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