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    Is manual data collection hampered by the presence of inner classes or class size?

    Counsell, S. and Loizou, George and Najjar, R. (2010) Is manual data collection hampered by the presence of inner classes or class size? In: Khaled, E. (ed.) Advanced Techniques in Computing Sciences and Software Engineering. Netherlands: Springer, pp. 91-97. ISBN 9789048136599.

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    In this paper, we present an empirical study in which we hypothesize that the existence of Java ‘inner classes’ and class size are strong impediments to the data collector during manual data collection. We collected inner class and class size data from the classes of four Java open-source systems - first manually and then automatically (after the manual collection had finished) using a bespoke software tool. The data collected by the tool provided the benchmark against which errors and oversights in the manual data collection of these two features could be recorded. Results showed our initial hypotheses to be refuted – manual errors in data collection from the four Java systems arose not from the presence of inner classes or from class size but from variations in coding style, lack of standards, class layout and disparateness of class feature declarations.


    Item Type: Book Section
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Depositing User: Sarah Hall
    Date Deposited: 18 Jul 2013 10:15
    Last Modified: 09 Aug 2023 12:33


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