Predicting Web Service Maintainability Via Object-Oriented Metrics: a Statistics-Based Approach

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dc.authorscopusid 55303736600
dc.authorscopusid 15073886400
dc.authorscopusid 24171844000
dc.authorscopusid 8688799600
dc.authorscopusid 56962766700
dc.contributor.author Coscia,J.L.O.
dc.contributor.author Crasso,M.
dc.contributor.author Mateos,C.
dc.contributor.author Zunino,A.
dc.contributor.author Misra,S.
dc.contributor.other Computer Engineering
dc.date.accessioned 2024-07-05T15:43:52Z
dc.date.available 2024-07-05T15:43:52Z
dc.date.issued 2012
dc.department Atılım University en_US
dc.department-temp Coscia J.L.O., UNICEN University, Tandil, Argentina; Crasso M., ISISTAN Research Institute, Tandil, Argentina, UNICEN University, Tandil, Argentina, Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), Argentina; Mateos C., ISISTAN Research Institute, Tandil, Argentina, UNICEN University, Tandil, Argentina, Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), Argentina; Zunino A., ISISTAN Research Institute, Tandil, Argentina, UNICEN University, Tandil, Argentina, Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), Argentina; Misra S., Department of Computer Engineering, Atilim University, Ankara, Turkey 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 The Service-Oriented Computing paradigm enables the construction of distributed systems by assembling loosely coupled pieces of software called services, which have clear interfaces to their functionalities. Service interface descriptions have many aspects, such as complexity and quality, all of which can be measured. This paper presents empirical evidence showing that services interfaces maintainability can be predicted by applying traditional software metrics in service implementations. A total of 11 source code level metrics and 5 service interface metrics have been statistically correlated using 154 real world services. © 2012 Springer-Verlag. en_US
dc.identifier.citationcount 13
dc.identifier.doi 10.1007/978-3-642-31128-4_3
dc.identifier.endpage 39 en_US
dc.identifier.isbn 978-364231127-7
dc.identifier.issn 1611-3349
dc.identifier.issue PART 4 en_US
dc.identifier.scopus 2-s2.0-84863959084
dc.identifier.startpage 29 en_US
dc.identifier.uri https://doi.org/10.1007/978-3-642-31128-4_3
dc.identifier.uri https://hdl.handle.net/20.500.14411/3680
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/openAccess en_US
dc.scopus.citedbyCount 13
dc.subject Code-First en_US
dc.subject Object-Oriented Metrics en_US
dc.subject Service-Oriented Computing en_US
dc.subject Web Service Maintainability en_US
dc.subject Web Service Maintainability Prediction en_US
dc.subject Web Services en_US
dc.title Predicting Web Service Maintainability Via Object-Oriented Metrics: a Statistics-Based Approach en_US
dc.type Conference Object en_US
dspace.entity.type Publication
relation.isAuthorOfPublication 53e88841-fdb7-484f-9e08-efa4e6d1a090
relation.isAuthorOfPublication.latestForDiscovery 53e88841-fdb7-484f-9e08-efa4e6d1a090
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relation.isOrgUnitOfPublication.latestForDiscovery e0809e2c-77a7-4f04-9cb0-4bccec9395fa

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