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2015 | OriginalPaper | Chapter

Tool Support for Cascading Style Sheets’ Complexity Metrics

Authors : Adewole Adewumi, Onyeka Emebo, Sanjay Misra, Luis Fernandez

Published in: Intelligence in the Era of Big Data

Publisher: Springer Berlin Heidelberg

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Tools are the fundamental requirement for acceptability of any metrics programme in the software industry. It is observed that majority of the metrics proposed and are available in the literature lack tool support. This is one of the reasons why they are not widely accepted by the practitioners. In order to improve the acceptability of proposed metrics among software engineers that develop Web applications, there is need to automate the process. In this paper, we have developed a tool for computing metrics for Cascading Style Sheets (CSS) and named it as CSS Analyzer (CSSA). The tool is capable of measuring different metrics, which are the representation of different quality attributes: which include understandability, reliability and maintainability based on some previously proposed metrics. The tool was evaluated by comparing its result on 40 cascading style sheets with results gotten by the manual process of computing the complexities. The results show that the tool computes in far less time when compared to the manual process and is 51.25% accurate.

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Metadata
Title
Tool Support for Cascading Style Sheets’ Complexity Metrics
Authors
Adewole Adewumi
Onyeka Emebo
Sanjay Misra
Luis Fernandez
Copyright Year
2015
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-46742-8_50

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