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Optimization Problems for a Modular Software with Faults of Different Severity.

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Title: Optimization Problems for a Modular Software with Faults of Different Severity.
Authors: Kapur, P. K.1, Sachdeva, Nitin2
Source: International Journal of Reliability, Quality & Safety Engineering. Jun2016, Vol. 23 Issue 3, p-1. 12p.
Subjects: Modular programming, Software reliability, Electric power system faults, Mathematical optimization, Goodness-of-fit tests
Abstract: For the past several decades, reliability has been presumed as the most important characteristic of any complex software system. Software developer's assurance of high quality and reliable software is driven on the basis of efficient reliability assessment. Since 1970's an unprecedented growth has been observed in the area of software reliability growth modeling. Software reliability growth models (SRGM) are linked to the testing stage of software development and provides for insights into ways to improve reliability of the system and optimal time to release the software. Several SRGMs have been proposed in the literature to model fault identification/removal phenomenon based on time; search for more efficient and accurate models that can fit greater number of reliability growth curves is endless. Categorization of faults lying in the software has been widely studied as well. Also, efforts have been made in the past to understand reliability issues concerned with modular software system. In this paper we examine three different types of faults lying in complex software and study their behavior in an N-module software system. In order to attain two fold objectives of maximizing reliability of such a system and minimizing overall debugging cost, we propose two related optimization models. The inbuilt model flexibility takes care of different environment. The model is validated by real life software failure data set to show its goodness of fit and applicability. [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.)
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  Data: Optimization Problems for a Modular Software with Faults of Different Severity.
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  Data: <searchLink fieldCode="DE" term="%22Modular+programming%22">Modular programming</searchLink><br /><searchLink fieldCode="DE" term="%22Software+reliability%22">Software reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+system+faults%22">Electric power system faults</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Goodness-of-fit+tests%22">Goodness-of-fit tests</searchLink>
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  Label: Abstract
  Group: Ab
  Data: For the past several decades, reliability has been presumed as the most important characteristic of any complex software system. Software developer's assurance of high quality and reliable software is driven on the basis of efficient reliability assessment. Since 1970's an unprecedented growth has been observed in the area of software reliability growth modeling. Software reliability growth models (SRGM) are linked to the testing stage of software development and provides for insights into ways to improve reliability of the system and optimal time to release the software. Several SRGMs have been proposed in the literature to model fault identification/removal phenomenon based on time; search for more efficient and accurate models that can fit greater number of reliability growth curves is endless. Categorization of faults lying in the software has been widely studied as well. Also, efforts have been made in the past to understand reliability issues concerned with modular software system. In this paper we examine three different types of faults lying in complex software and study their behavior in an N-module software system. In order to attain two fold objectives of maximizing reliability of such a system and minimizing overall debugging cost, we propose two related optimization models. The inbuilt model flexibility takes care of different environment. The model is validated by real life software failure data set to show its goodness of fit and applicability. [ABSTRACT FROM AUTHOR]
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  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/S0218539316400040
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      – Code: eng
        Text: English
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        PageCount: 12
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      – SubjectFull: Modular programming
        Type: general
      – SubjectFull: Software reliability
        Type: general
      – SubjectFull: Electric power system faults
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      – SubjectFull: Mathematical optimization
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      – SubjectFull: Goodness-of-fit tests
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              Text: Jun2016
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