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      Controlling the Usability Evaluation Process under Varying Defect Visibility

      proceedings-article

      People and Computers XXIII Celebrating People and Technology (HCI)

      Computers XXIII Celebrating People and Technology

      1 - 5 September 2009

      Usability Evaluation, Usability Business, Process Control, Reliability, Count Data Models, Maximum Likelihood

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            Abstract

            In cases where usability is a mission critical system quality it is becoming essential to know whether an evaluation study has identified the majority of existing defects. Previous work has shown that procedures for estimating the progress of evaluation studies have to account for variation in defect visibility; otherwise, harmful bias will happen. Here, a statistical model is introduced for estimating the number of not-yet-identified defects in a study. This approach also supports exact confidence intervals and can easily be adapted to estimate the required number of sessions. The method is evaluated and shown to, in most cases, provide accurate measures. A running example illustrates how practitioners may track the progress of their studies and make quantitatively informed decisions on when to finish.

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            Author and article information

            Contributors
            Conference
            September 2009
            September 2009
            : 188-197
            Affiliations
            [0001]Passau University, Information Systems II

            94032 Passau, Germany
            Article
            10.14236/ewic/HCI2009.22
            62d46409-be36-4213-820d-0850ca1e3a72
            © Martin Schmettow. Published by BCS Learning and Development Ltd. People and Computers XXIII Celebrating People and Technology, Churchill College Cambridge, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            People and Computers XXIII Celebrating People and Technology
            HCI
            Churchill College Cambridge, UK
            1 - 5 September 2009
            Electronic Workshops in Computing (eWiC)
            Computers XXIII Celebrating People and Technology
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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