Chapter title | An industrial study using UML design metrics for Web applications |
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Authors | Ghosheh, E., Black, S.E. and Qaddour, J. |
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Editors | Lee, R. and Kim, H.K. |
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Abstract | Many web applications have evolved from simple HTML pages to complex applications that are difficult to maintain. In order to control the maintenance of web applications quantitative metrics and models for predicting web applications maintainability must be used. This paper introduces new design metrics for measuring the maintainability of web applications from class diagrams. The metrics are based on Web Application Extension (WAE) for UML and measure the design attributes of size, complexity, and coupling. The paper describes an experiment carried out using a CVS repository from a US telecoms web application. A relationship is established between the metrics and maintenance effort measured by the number of lines of code changed. |
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Book title | Computer and information science |
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Year | 2008 |
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Publisher | Springer |
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Publication dates |
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Published | 2008 |
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Place of publication | Berlin / Heidelberg |
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Series | Studies in computational intelligence |
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ISBN | 9783540791867 |
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Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-540-79187-4_20 |
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Journal citation | (131), pp. 231-241 |
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