Complexity Metrics for Cascading Style Sheets

dc.authorscopusid 55314549400
dc.authorscopusid 56962766700
dc.authorscopusid 56155748000
dc.contributor.author Adewumi,A.
dc.contributor.author Misra,S.
dc.contributor.author Ikhu-Omoregbe,N.
dc.contributor.other Computer Engineering
dc.date.accessioned 2024-07-05T15:43:51Z
dc.date.available 2024-07-05T15:43:51Z
dc.date.issued 2012
dc.department Atılım University en_US
dc.department-temp Adewumi A., Department of Computer and Information Sciences, Covenant University, Nigeria; Misra S., Department of Computer Engineering, Atilim Univeristy, Ankara, Turkey; Ikhu-Omoregbe N., Department of Computer and Information Sciences, Covenant University, Nigeria en_US
dc.description Universidade Federal da Bahia (UFBA); Universidade Federal do Reconcavo da Bahia (UFRB); Universidade Estadual de Feira de Santana (UEFS); University of Perugia; University of Basilicata (UB) en_US
dc.description.abstract Web applications are becoming important for small and large companies since they are integrated with their business strategies. Cascading Style Sheets (CSS) however are an integral part of contemporary Web applications that are perceived as complex by users and this result in hampering its widespread adoption. The factors responsible for CSS complexity include size, variety in its rule block structures, rule block reuse, cohesion and attribute definition in rule blocks. In this paper, we have proposed relevant metric for each of the complexity factors. The proposed metrics are validated through a practical framework. The outcome shows that the proposed metrics satisfy most of the parameters required by the practical framework hence establishing them as well structured. © 2012 Springer-Verlag. en_US
dc.identifier.citationcount 5
dc.identifier.doi 10.1007/978-3-642-31128-4_18
dc.identifier.endpage 257 en_US
dc.identifier.isbn 978-364231127-7
dc.identifier.issn 1611-3349
dc.identifier.issue PART 4 en_US
dc.identifier.scopus 2-s2.0-84863959098
dc.identifier.startpage 248 en_US
dc.identifier.uri https://doi.org/10.1007/978-3-642-31128-4_18
dc.identifier.uri https://hdl.handle.net/20.500.14411/3675
dc.identifier.volume 7336 LNCS en_US
dc.institutionauthor Mısra, Sanjay
dc.language.iso en en_US
dc.relation.ispartof Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -- 12th International Conference on Computational Science and Its Applications, ICCSA 2012 -- 18 June 2012 through 21 June 2012 -- Salvador de Bahia -- 90945 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 5
dc.subject Cascading Style Sheets en_US
dc.subject Complexity Metrics en_US
dc.subject Software Metrics en_US
dc.subject Validation Criteria en_US
dc.title Complexity Metrics for Cascading Style Sheets en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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