The Evaluation of Text Editors: Methodology and Empirical Results.

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Title: The Evaluation of Text Editors: Methodology and Empirical Results.
Authors: Roberts, Teresa L.1, Moran, Thomas P.2
Source: Communications of the ACM. Apr1983, Vol. 26 Issue 4, p265-283. 19p. 8 Charts, 6 Graphs.
Subjects: Text editors (Computer programs), Text processing (Computer science), Computer software, Methodology, Learning, Errors
Abstract: This paper presents a methodology for evaluating text editors on several dimensions: the time it takes experts to perform basic editing tasks, the time experts spend making and correcting errors, the rate at which novices learn to perform basic editing tasks, and the functionality of editors over more complex tasks. Time, errors, and learning are measured experimentally; functionality is measured analytically; time is also calculated analytically. The methodology has thus far been used to evaluate nine diverse text editors, producing an initial database of performance re suits. The database is used to tell us not only about the editors but also about the users-the magnitude of individual differences and the factors affecting novice learning. [ABSTRACT FROM AUTHOR]
Copyright of Communications of the ACM 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.)
Database: Engineering Source
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DbLabel: Engineering Source
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  Data: The Evaluation of Text Editors: Methodology and Empirical Results.
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  Data: <searchLink fieldCode="AR" term="%22Roberts%2C+Teresa+L%2E%22">Roberts, Teresa L.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Moran%2C+Thomas+P%2E%22">Moran, Thomas P.</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Communications+of+the+ACM%22">Communications of the ACM</searchLink>. Apr1983, Vol. 26 Issue 4, p265-283. 19p. 8 Charts, 6 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Text+editors+%28Computer+programs%29%22">Text editors (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Text+processing+%28Computer+science%29%22">Text processing (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Methodology%22">Methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Errors%22">Errors</searchLink>
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  Data: This paper presents a methodology for evaluating text editors on several dimensions: the time it takes experts to perform basic editing tasks, the time experts spend making and correcting errors, the rate at which novices learn to perform basic editing tasks, and the functionality of editors over more complex tasks. Time, errors, and learning are measured experimentally; functionality is measured analytically; time is also calculated analytically. The methodology has thus far been used to evaluate nine diverse text editors, producing an initial database of performance re suits. The database is used to tell us not only about the editors but also about the users-the magnitude of individual differences and the factors affecting novice learning. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Communications of the ACM 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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      – Type: doi
        Value: 10.1145/2163.2164
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 19
        StartPage: 265
    Subjects:
      – SubjectFull: Text editors (Computer programs)
        Type: general
      – SubjectFull: Text processing (Computer science)
        Type: general
      – SubjectFull: Computer software
        Type: general
      – SubjectFull: Methodology
        Type: general
      – SubjectFull: Learning
        Type: general
      – SubjectFull: Errors
        Type: general
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      – TitleFull: The Evaluation of Text Editors: Methodology and Empirical Results.
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            NameFull: Roberts, Teresa L.
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            NameFull: Moran, Thomas P.
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              Text: Apr1983
              Type: published
              Y: 1983
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              Value: 26
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