scholarly journals Measuring the understandability of WSDL specifications, web service understanding degree approach and system

2016 ◽  
Vol 13 (3) ◽  
pp. 779-807 ◽  
Author(s):  
Mario Berón ◽  
Hernán Bernardis ◽  
Enrique Miranda ◽  
Daniel Riesco ◽  
João Varanda-Pereira ◽  
...  
Keyword(s):  
Web Service ◽  
Evaluation Method ◽  
A Priori ◽  
A Priori Information ◽  
Service Description ◽  
Description Language ◽  
Analysis Techniques ◽  
Software Artifacts ◽  
Service Oriented ◽  
Priori Information

Web Services (WS) are fundamental software artifacts for building service oriented applications and they are usually reused by others. Therefore they must be analyzed and comprehended for maintenance tasks: identification of critical parts, bug fixing, adaptation and improvement. In this article, WSDLUD a method aimed at measuring a priori the understanding degree (UD) of WSDL (Web Service Description Language) descriptions is presented. In order to compute UD several criteria useful to measure the understanding?s complexity of WSDL descriptions must be defined. These criteria are used by LSP (Logic Scoring of Preference), a multicriteria evaluation method, for producing a Global Preference value that indicates the satisfaction level of the WSDL description regarding the evaluation focus, in this case, the understanding degree. All the criteria information required by LSP is extracted from WSDL descriptions by using static analysis techniques and processed by specific algorithms which allow gathering semantic information. This process allows to obtain a priori information about the comprehension difficulty which proves our research hypotheses that states that it is possible to compute the understanding degree of a WSDL description.

scholarly journals BLACKBOX TESTING OF WEB SERVICE

2014 ◽  
pp. 82-85
Author(s):  
KAUSHIK RANA
Keyword(s):  
Web Services ◽  
Web Service ◽  
Hierarchical Structure ◽  
Service Level ◽  
Data Dependency ◽  
Service Description ◽  
Description Language ◽  
Crucial Point ◽  
Service Oriented ◽  
Significant Attention

Web Services and Service Oriented Computing (SOC) paradigm have received significant attention due to its wide spread adoption and promotion by major IT vendors. As more and more Service-Oriented Softwares are built to-day testing of web service have becomes crucial point. Web services are distributed, loosly coupled, autonomous, reusuable, discoverable, hides internal logic (Abstraction),minimize retaining information (Statelessness) and adhere to Service Level Aggrement (SLA).These inherent characterestics imposes great challenges to the tester.In this paper we try to impose hierarchical structure on Web Service Description Language(WSDL) in order to uncover more and more errors before its final deployment through blackbox testing.Our approach differes from others by imposing hierarchical structure on WSDL, finding various dependencies like data dependency, control dependency, and generation of Web Service Dependence Graph(WSDG) which are essential for testing.

Resolution Enhancement of Composite Spectra with Fractal Noise in Derivative Spectrometry

2000 ◽  
Vol 54 (5) ◽  
pp. 721-730 ◽  
Author(s):  
S. S. Kharintsev ◽  
D. I. Kamalova ◽  
M. Kh. Salakhov
Keyword(s):  
A Priori ◽  
Resolution Enhancement ◽  
Numerical Differentiation ◽  
A Priori Information ◽  
Experimental Ir ◽  
Composite Spectra ◽  
Self Similar ◽  
Priori Information ◽  
Fractal Noise ◽  
Derivative Spectrometry

The problem of improving the resolution of composite spectra with statistically self-similar (fractal) noise is considered within the framework of derivative spectrometry. An algorithm of the numerical differentiation of an arbitrary (including fractional) order of spectra is produced by the statistical regularization method taking into account a priori information on statistical properties of the fractal noise. Fractal noise is analyzed in terms of the statistical Hurst method. The efficiency and expedience of this algorithm are exemplified by treating simulated and experimental IR spectra.

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