Browsing by Author "Coscia,J.L.O."
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Conference Object Citation Count: 0An evaluation on developer's perception of XML schema complexity metrics for web services(2013) Mısra, Sanjay; Mateos,C.; Coscia,J.L.O.; Zunino,A.; Misra,S.; Computer EngineeringUndoubtedly, the Service-Oriented Computing (SOC) is not an incipient computing paradigm anymore, while Web Services technologies is now a very mature stack of technologies. Both have been steadily gaining maturity as their adoption in the software industry grew. Accordingly, several metric suites for assessing different quality attributes of Web Services have been recently proposed. In particular, researchers have focused on measuring services interfaces descriptions, which like any other software artifact, have a measurable size, complexity and quality. This paper presents a study that assesses human perception of some recent services interfaces complexity metrics (Basci and Misra's metrics suite). Empirical evidence suggests that a service interface that it is not complex for a software application, in terms of time and space required to analyze it, will not be necessarily well designed, in terms of best practices for designing Web Services. A Likert-based questionnaire was used to gather individuals opinions about this topic. © 2013 Springer-Verlag Berlin Heidelberg.Conference Object Citation Count: 13Predicting web service maintainability via object-oriented metrics: A statistics-based approach(2012) Mısra, Sanjay; Crasso,M.; Mateos,C.; Zunino,A.; Misra,S.; Computer EngineeringThe 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.