An Empirical Study on Web Service Evolution

Fokaefs, Marios; Mikhaiel, Rimon; Tsantalis, Nikolaos; Stroulia, Eleni; Lau, Alex

doi:10.1109/icws.2011.114

Cited by 81 publications

(55 citation statements)

References 10 publications

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“…In order to analyze the evolution of WSDL 1 interfaces, Fokaefs et al [6] propose a tool called VTracker. This tool is based on the Zhang-Shashas tree-edit distance [20] comparing WSDL interfaces as XML 2 documents.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Evolution of Web Services Using Fine-Grained Changes

Romano

Pinzger

2012

2012 IEEE 19th International Conference on Web Services

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Abstract-In the service-oriented paradigm web service interfaces are considered contracts between web service subscribers and providers. However, these interfaces are continuously evolving over time to satisfy changes in the requirements and to fix bugs. Changes in a web service interface typically affect the systems of its subscribers. Therefore, it is essential for subscribers to recognize which types of changes occur in a web service interface in order to analyze the impact on his/her systems.In this paper we propose a tool called WSDLDiff to extract fine-grained changes from subsequent versions of a web service interface defined in WSDL. In contrast to existing approaches, WSDLDiff takes into account the syntax of WSDL and extracts the WSDL elements affected by changes and the types of changes. With WSDLDiff we performed a study aimed at analyzing the evolution of web services using the fine-grained changes extracted from the subsequent versions of four real world WSDL interfaces.The results of our study show that the analysis of the finegrained changes helps web service subscribers to highlight the most frequent types of changes affecting a WSDL interface. This information can be relevant for web service subscribers who want to assess the risk associated to the usage of web services and to subscribe to the most stable ones.

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Section: Introductionmentioning

confidence: 99%

Analyzing the Evolution of Web Services Using Fine-Grained Changes

Romano

Pinzger

2012

2012 IEEE 19th International Conference on Web Services

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“…Some researchers, such as Li et al [6] and Romano and Pinzger [7], presented important empirical studies about the most common types of service changes. Fokaefs et al [8] also published empirical results of evolution scenarios, and presented the VTracker tool, which can be used to automatically identify changes between different versions of a service. …”

Section: Related Workmentioning

confidence: 99%

Service Evolution Patterns

Wang

Higashino

Hayes

et al. 2014

2014 IEEE International Conference on Web Services

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Abstract-Service evolution is the process of maintaining and evolving existing Web services to cater for new requirements and technological changes. In this paper, a service evolution model is proposed to analyze service dependencies, identify changes on services and estimate impact on consumers that will use new versions of these services. Based on the proposed service evolution model, four service evolution patterns are described: compatibility, transition, split-map, and mergemap. These proposed patterns provide reusable templates to encourage well-defined service evolution while minimizing issues that arise otherwise. They can be applied in the service evolution scenario where a single service is used by many, possibly unknown, consumers' applications. In such a scenario, providers evolve their services independently from consumers, which might cause unexpected errors and incur unpredicted impact on the dependent consumers' applications. Therefore, providers can use these patterns to estimate the impact that changes to be introduced to their services may cause on their consumers, and to allow consumers smoothly migrate to the newest version of the service.

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“…Some specification mapping variants also consider program behaviour and post conditions. Despite apparent similarity of signature matching and web service matching, better scrutinization shows different level of expressiveness and data structures, makes naïve application of methods in one domain inefficient in the other, however there has been successful adaptations in the similar problems [9], [10]. In [9], Stroulia et al computed structural and semantic similarity of web services for the web service discovery, leveraging from mainly signature matching methods.…”

Section: Background and Related Workmentioning

confidence: 99%

Web service matching for RESTful web services

Khorasgani

Stroulia

Zaı̈ane

2011

2011 13th IEEE International Symposium on Web Systems Evolution (WSE)

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Abstract-There is a growing number of web services available on the Internet, providing a wide range of functionalities. This diversity introduces a variety of new challenges in the field of software engineering -service discovery, integration, and composition, all of which require, to some extent, "service matching". Web-service matching (or alignment) is the task of mapping the functionalities of two web services, assuming that these functionalities overlap somewhat.In this paper we propose a novel graph-theoretic approach, called Semantic Flow Matching (SFM), for matching REST web services, specified in WADL (Web Application Description Language). The method builds a heterogeneous network of WADL elements and semantically related terms, and uses this network to match similar functionalities of different web services. The method is implemented in a prototype tool that consists of two modules: a converter and a mapper; where the converter wraps the REST web services in WADL format and the mapper module matches web services based on their semantics extracted from the WADL interface build by the converter. We demonstrate the potential of the approach with a small case study.

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An Empirical Study on Web Service Evolution

Cited by 81 publications

References 10 publications

Analyzing the Evolution of Web Services Using Fine-Grained Changes

Analyzing the Evolution of Web Services Using Fine-Grained Changes

Service Evolution Patterns

Web service matching for RESTful web services

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