Extending JMeter to Allow for Web Structure Mining

Show simple item record

dc.contributor.author Sabater, Agustín
dc.contributor.author Guerrero, Carlos
dc.contributor.author Lera, Isaac
dc.contributor.author Juiz, Carlos
dc.date.accessioned 2025-07-10T08:59:57Z
dc.date.available 2025-07-10T08:59:57Z
dc.date.issued 2025-07-10
dc.identifier.citation Sabater, A., Guerrero, C., Lera, I., i Juiz, C. (2013). Extending JMeter to Allow for Web Structure Mining. En Proceedings of the Fifth International Conference on Internet Technologies and Applications (ITA 2013) (pp. 30-40). Glyndŵr University ca
dc.identifier.isbn 978-0-946881-81-9
dc.identifier.uri http://hdl.handle.net/11201/170694
dc.description.abstract [eng] This paper describes a JMeter extension created to allow for web structure mining process. This type of mining process is very important, for example, in the field of web performance engineering and web development validations. The extension allows users to define the HTML tags that wrap the content units and it creates a graph model to represent the content units of all the web pages and the relationships among them (aggregations). The usability of the extension has been validated in a real scenario. en
dc.format.extent 33-40
dc.language.iso eng
dc.publisher Glyndŵr University
dc.relation Proceedings of the Fifth International Conference on Internet Technologies and Applications (ITA 2013)
dc.rights all rights reserved
dc.subject 004 - Informàtica ca
dc.subject.other Web data mining en
dc.subject.other Web structure mining en
dc.subject.other JMeter en
dc.subject.other Web engineering en
dc.title Extending JMeter to Allow for Web Structure Mining en
dc.type Book chapter
dc.type ConferenceObject
dc.type info:eu-repo/semantics/conferenceObject
dc.type info:eu-repo/semantics/bookpart
dc.rights.holder Autor
dc.rights.accessRights info:eu-repo/semantics/openAccess


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Repository


Advanced Search

Browse

My Account

Statistics