Towards overcoming human analyst fallibility in the requirements tracing process (NIER track).

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Title: Towards overcoming human analyst fallibility in the requirements tracing process (NIER track).
Authors: Cuddeback, David, Dekhtyar, Alex, Hayes, Jane Huffman, Holden, Jeff, Kong, Wei-Keat
Source: ICSE: International Conference on Software Engineering. 2011, p860-863. 4p.
Subjects: Software engineering, Execution traces (Computer program testing), Matrices (Mathematics), Decision support systems, Data mining
Abstract: Our research group recently discovered that human analysts, when asked to validate candidate traceability matrices, produce predictably imperfect results, in some cases less accurate than the starting candidate matrices. This discovery radically changes our understanding of how to design a fast, accurate and certifiable tracing process that can be implemented as part of software assurance activities. We present our vision for the new approach to achieving this goal. Further, we posit that human fallibility may impact other software engineering activities involving decision support tools. [ABSTRACT FROM AUTHOR]
Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery 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: Towards overcoming human analyst fallibility in the requirements tracing process (NIER track).
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  Data: <searchLink fieldCode="AR" term="%22Cuddeback%2C+David%22">Cuddeback, David</searchLink><br /><searchLink fieldCode="AR" term="%22Dekhtyar%2C+Alex%22">Dekhtyar, Alex</searchLink><br /><searchLink fieldCode="AR" term="%22Hayes%2C+Jane+Huffman%22">Hayes, Jane Huffman</searchLink><br /><searchLink fieldCode="AR" term="%22Holden%2C+Jeff%22">Holden, Jeff</searchLink><br /><searchLink fieldCode="AR" term="%22Kong%2C+Wei-Keat%22">Kong, Wei-Keat</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22ICSE%3A+International+Conference+on+Software+Engineering%22">ICSE: International Conference on Software Engineering</searchLink>. 2011, p860-863. 4p.
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  Data: <searchLink fieldCode="DE" term="%22Software+engineering%22">Software engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Execution+traces+%28Computer+program+testing%29%22">Execution traces (Computer program testing)</searchLink><br /><searchLink fieldCode="DE" term="%22Matrices+%28Mathematics%29%22">Matrices (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+support+systems%22">Decision support systems</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink>
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  Label: Abstract
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  Data: Our research group recently discovered that human analysts, when asked to validate candidate traceability matrices, produce predictably imperfect results, in some cases less accurate than the starting candidate matrices. This discovery radically changes our understanding of how to design a fast, accurate and certifiable tracing process that can be implemented as part of software assurance activities. We present our vision for the new approach to achieving this goal. Further, we posit that human fallibility may impact other software engineering activities involving decision support tools. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery 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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        Value: 10.1145/1985793.1985925
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 4
        StartPage: 860
    Subjects:
      – SubjectFull: Software engineering
        Type: general
      – SubjectFull: Execution traces (Computer program testing)
        Type: general
      – SubjectFull: Matrices (Mathematics)
        Type: general
      – SubjectFull: Decision support systems
        Type: general
      – SubjectFull: Data mining
        Type: general
    Titles:
      – TitleFull: Towards overcoming human analyst fallibility in the requirements tracing process (NIER track).
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            NameFull: Cuddeback, David
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            NameFull: Dekhtyar, Alex
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            NameFull: Hayes, Jane Huffman
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            NameFull: Holden, Jeff
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            NameFull: Kong, Wei-Keat
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            – D: 01
              M: 02
              Text: 2011
              Type: published
              Y: 2011
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            – TitleFull: ICSE: International Conference on Software Engineering
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