Artículo

Predicting web service maintainability via object-oriented metrics: A statistics-based approach

Ordiales Coscia, José Luis; Crasso, Marco PatricioIcon ; Mateos Diaz, Cristian MaximilianoIcon ; Zunino Suarez, Alejandro OctavioIcon ; Misra, Sanjay
Fecha de publicación: 03/2012
Editorial: Springer
Revista: Lecture Notes in Computer Science
ISSN: 0302-9743
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:

Resumen

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.
Palabras clave: Code-First , Object-Oriented Metrics , Service-Oriented Computing , Web Service Maintainability , Web Service Maintainability Prediction , Web Services
 
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Licencia
info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/64881
DOI: https://dx.doi.org/10.1007/978-3-642-31128-4_3
URL: https://link.springer.com/chapter/10.1007/978-3-642-31128-4_3
Colecciones
Articulos(ISISTAN)
Articulos de INSTITUTO SUPERIOR DE INGENIERIA DEL SOFTWARE
Citación
Ordiales Coscia, José Luis; Crasso, Marco Patricio; Mateos Diaz, Cristian Maximiliano; Zunino Suarez, Alejandro Octavio; Misra, Sanjay; Predicting web service maintainability via object-oriented metrics: A statistics-based approach; Springer; Lecture Notes in Computer Science; 7336 LNCS; PART 4; 3-2012; 29-39
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