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dc.contributor.author
Scott, Mario Ezequiel  
dc.contributor.author
Soria, Alvaro  
dc.contributor.author
Campo, Marcelo Ricardo  
dc.date.available
2018-09-05T20:29:05Z  
dc.date.issued
2016-05  
dc.identifier.citation
Scott, Mario Ezequiel; Soria, Alvaro; Campo, Marcelo Ricardo; A Taxonomy-based Approach for Fault Localization in Service-Oriented Applications; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 14; 5; 5-2016; 2348-2354  
dc.identifier.issn
1548-0992  
dc.identifier.uri
http://hdl.handle.net/11336/58461  
dc.description.abstract
Service Oriented Computing is a relevant paradigm that allows for building software solutions as it supports the creation of dynamic and agile applications. As a result of these benefits, applications based on the paradigm are commonly used in the industry. However, the more complex software solutions become, the higher the chance of having bugs is. Identifying them in the entire solution may also be one of the most tedious, expensive and time-consuming activity within the developing process. Therefore, fault localization aims at finding the location of faults, determining the root cause of the failure and identifying the causes of abnormal behavior of a faulty program. In particular, fault localization for service oriented applications is currently a research field that has received little attention. In this context, we present a taxonomy-based approach for fault localization in service oriented applications, using information of faults in the underlying architecture of these applications, namely SOA. The results on the location of faults are not only provided to the developer but also enhanced with architectural information, that is, showing the faults and their connection with exceptions, code and architectural scenarios. The experimental results carried out indicate that developers reduce their effort of localizing faults in terms of time and lines of code.  
dc.format
application/pdf  
dc.language.iso
spa  
dc.publisher
Institute of Electrical and Electronics Engineers  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Fault Locatization  
dc.subject
Service Oriented  
dc.subject
Taxonomy  
dc.subject.classification
Ciencias de la Computación  
dc.subject.classification
Ciencias de la Computación e Información  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
A Taxonomy-based Approach for Fault Localization in Service-Oriented Applications  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-09-05T15:52:13Z  
dc.journal.volume
14  
dc.journal.number
5  
dc.journal.pagination
2348-2354  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Albuquerque  
dc.description.fil
Fil: Scott, Mario Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina  
dc.description.fil
Fil: Soria, Alvaro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina  
dc.description.fil
Fil: Campo, Marcelo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina  
dc.journal.title
IEEE Latin America Transactions  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TLA.2016.7530432  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/7530432/