Detecting redundant CSS rules in HTML5 applications : a tree rewriting approach. / Hague, Matthew; Lin, Anthony; Ong, C.-H. Luke.

OOPSLA 2015: Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications. New York, NY : ACM, 2015. p. 1-19 .

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Abstract

HTML5 applications normally have a large set of CSS (Cascading Style Sheets) rules for data display. Each CSS rule consists of a node selector and a declaration block (which assigns values to selected nodes' display attributes). As web applications evolve, maintaining CSS files can easily become problematic. Some CSS rules will be replaced by new ones, but these obsolete (hence redundant) CSS rules often remain in the applications. Not only does this “bloat” the applications – increasing the bandwidth requirement – but it also significantly increases web browsers' processing time. Most works on detecting redundant CSS rules in HTML5 applications do not consider the dynamic behaviours of HTML5 (specified in JavaScript); in fact, the only proposed method that takes these into account is dynamic analysis, which cannot soundly prove redundancy of CSS rules. In this paper, we introduce an abstraction of HTML5 applications based on monotonic tree-rewriting and study its "redundancy problem". We establish the precise complexity of the problem and various subproblems of practical importance (ranging from P to EXP). In particular, our algorithm relies on an efficient reduction to an analysis of symbolic pushdown systems (for which highly optimised solvers are available), which yields a fast method for checking redundancy in practice. We implemented our algorithm and demonstrated its efficacy in detecting redundant CSS rules in HTML5 applications.
Original languageEnglish
Title of host publicationOOPSLA 2015
Subtitle of host publicationProceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications
Place of PublicationNew York, NY
PublisherACM
Pages1-19
Number of pages19
ISBN (Electronic)978-1-4503-3689-5
DOIs
Publication statusPublished - 23 Oct 2015
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

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