WSDLUD: A Metric to Measure the Understanding Degree of WSDL Descriptions

Berón, Mario; Bernardis, Hernán; Miranda, Enrique A.; Riesco, Daniel Eduardo; Pereira, Maria João Varanda; Henriques, Pedro Rangel

doi:10.1007/978-3-319-27653-3_9

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…The work in [49] presents a metric for understandability of WSDL descriptions called WSDL Understanding Degree (WSDLUD). The authors define a criteria tree for each part of WSDL descriptions composed by the following characteristics: (i) Type Understanding Degree, (ii) Message Understanding Degree, (iii) Port Type Understanding Degree, (iv) Binding Understanding Degree and (v) Service Understanding Degree.…”

Section: Service Descriptions Assessment Approachesmentioning

confidence: 99%

Lightweight Semantic based Approach to Assess Readability of Web Service Interfaces

Renzis¹,

Garriga²,

Flores³

et al. 2017

CLEIej

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A Web Service has an interface described in a machine-processable format (specifically WSDL). Service providers expose their services by publishing their WSDL documents. Service consumers can learn about service capabilities and how to interact with services. Service descriptions (WSDL documents) should be ideally understood easily by service stakeholders so that the process of consuming services is simplified. In this work we present a practical metric to quantify readability in WSDL documents. We adapted and extended an existing ontology-based semantic readability metric to focus on WSDL documents by using WordNet as a lightweight concept hierarchy. We have validated our approach by performing both qualitative and quantitative experiments. The first one consists of a controlled survey with a group of service consumers. The results showed that consumers (software engineers) required less time and effort to analyze WSDL documents with higher readability values. The second experiment compares our approach with two ontology-based approaches. The third experiment compares the readability values of a dataset of real-life service descriptions before and after rewriting them. The results showed the effectiveness of our approach to assess readability of Web Services interfaces.

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Section: Service Descriptions Assessment Approachesmentioning

confidence: 99%

Lightweight Semantic based Approach to Assess Readability of Web Service Interfaces

Renzis¹,

Garriga²,

Flores³

et al. 2017

CLEIej

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“…The authors also outline refactorings to improve readability. In addition Berón et al (2015), presents WSDLUD, a metric for measuring the understanding degree of WSDL descriptions. WSDLUD quantifies the understanding degree values of relevant attributes associated to basic WSDL elements (types, messages, port-types, binding and service) using text-mining techniques and Wordnet Miller (1995), and then aggregates these values into a global score.…”

Section: Obtaining Better Wsdl Documentsmentioning

confidence: 99%

A Stitch in Time Saves Nine: Early Improving Code-First Web Services Discoverability

Mateos

Crasso

Zunino

et al. 2015

Int. J. Coop. Info. Syst.

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Web Services represent a number of standard technologies and methodologies that allow developers to build applications under the Service-Oriented Computing paradigm. Within these, the WSDL language is used for representing Web Service interfaces, while code-first remains the de facto standard for building such interfaces. Previous studies with contract-first Web Services have shown that avoiding a specific catalog of bad WSDL specification practices, or anti-patterns, can reward Web Service publishers as service understandability and discoverability are considerably improved. In this paper, we study a number of simple and well-known code service refactorings that early reduce anti-pattern occurrences in WSDL documents. This relationship relies upon a statistical correlation between common OO metrics taken on a service's code and the anti-pattern occurrences in the generated WSDL document. We quantify the effects of the refactorings — which directly modify OO metric values and indirectly alter anti-pattern occurrences — on service discovery. All in all, we show that by applying the studied refactorings, anti-patterns are reduced and Web Service discovery is significantly improved. For the experiments, a dataset of real-world Web Services and an academic service registry have been employed.

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