Applying Text Classification Algorithms in Web Services Robustness Testing

Laranjeiro, Nuno; Oliveira, Rui André; Vieira, Marco

doi:10.1109/srds.2010.36

Cited by 13 publications

(12 citation statements)

References 20 publications

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“…The goal of this step is simply to understand the typical behavior expected from the Web service (e.g., typical response format). This information is not used in the definition of the tests, but can be used in the classification of the tests results, either by individually comparing the tests results with the regular workload output, or by using an automatic robustness classification procedure based on machine learning techniques [37].…”

Section: Fig 3 Example Of a Wsdl Filementioning

confidence: 99%

“…However, in some cases, automated identification is not enough to decide if a given response is due to a robustness problem or not (e.g., in many cases it is difficult to automatically decide whether a given response represents an expected or unexpected behavior). We have recently studied the applicability of machine learning algorithms, typically used in text classification tasks, in the classification Web services robustness [37]. We found out that it is possible to obtain good results with these algorithms, i.e., a tool based on these algorithms can be used to automate the process effectively.…”

Section: Web Services Characterizationmentioning

confidence: 99%

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A robustness testing approach for SOAP Web services

Laranjeiro

Vieira

Madeira

2012

J Internet Serv Appl

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The use of Web services in enterprise applications is quickly increasing. In a Web services environment, providers supply a set of services for consumers. However, although Web services are being used in business-critical environments, there are no practical means to test or compare their robustness to invalid and malicious inputs. In fact, client applications are typically developed with the assumption that the services being used are robust, which is not always the case. Robustness failures in such environments are particularly dangerous, as they may originate vulnerabilities that can be maliciously exploited, with severe consequences for the systems under attack. This paper addresses the problem of robustness testing in Web services environments. The proposed approach is based on a set of robustness tests (including both malicious and non-malicious invalid call parameters) that is used to discover programming and design errors. This approach, useful for both service providers and consumers, is demonstrated by two sets of experiments, showing, respectively, the use of Web services Robustness testing from the consumer and the provider points of view. The experiments comprise the robustness testing of 1,204 Web service operations publicly available in the Internet and of 29 home-implemented services, including two different implementations of the Web services specified by the standard TPC-App performance benchmark. Results show that many Web services are deployed with critical robustness N. Laranjeiro · M. Vieira (B) · H. Madeira DEI/CISUC, University of Coimbra, 3030-290 Coimbra, Portugal e-mail: mvieira@dei.uc.pt N. Laranjeiro e-mail: cnl@dei.uc.pt H. Madeira e-mail: henrique@dei.uc.pt problems and that robustness testing is an effective approach to improve services quality.

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Section: Fig 3 Example Of a Wsdl Filementioning

confidence: 99%

Section: Web Services Characterizationmentioning

confidence: 99%

A robustness testing approach for SOAP Web services

Laranjeiro

Vieira

Madeira

2012

J Internet Serv Appl

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“…When the system under test is of large dimension, it might be difficult to carry out this task (especially considering that this kind of tests will then produce large amounts of data), as the tester may have many cases to analyze. Still, there are a few methods that can alleviate this task that, depending on the system being analyzed and on the tester's goals and budget, might apply (e.g., using machine learning algorithms to automatically identify incorrect responses [41]). Upon detection of a failure, the tester is very likely interested in further describing the failure, by, for instance, classifying the failure.…”

Section: Approach Execution Phasesmentioning

confidence: 99%

Testing data-centric services using poor quality data: from relational to NoSQL document databases

et al. 2017

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Businesses are nowadays deploying their services online, reaching out to clients all around the world. Many times deployed as web applications or web services, these business-critical systems typically perform large amounts of database operations; thus, they are dependent on the quality of the data to provide correct service to clients. Research and practice have shown that the quality of the data in an enterprise system gradually decreases overtime, bringing in diverse reliability issues to the applications that are using the data to provide services. These issues range from simple incorrect operations to aborted operations or severe system failures. In this paper, we present an approach to test data-centric services in presence of poor quality data. The approach has been designed to consider relational and NoSQL database nodes used by the system under test and is based on the injection of poor quality data on the database-application interface. The results indicate the effectiveness of the approach in discovering issues, not only at the application-level, but also in the middleware being used, contributing to the development of more reliable services.

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“…Then the service discovery is executed based on the classification result. In [5], service classification is considered as a powerful tool in web services robustness testing. In [6], a method based on service classification is proposed to evaluate trust models and the experiments prove that their method is more accurate.…”

Section: Related Workmentioning

confidence: 99%

“…For Qos, which includes usability, response time, and other nonfunctional properties of services, each parameter can be evaluated in terms of numeric values. We also standardize each dimension of Qos (denoted as ) by(5).…”

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confidence: 99%

Locality Sensitive Hashing Based Service Classification

Wang

2011

2011 International Conference on Management and Service Science

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Technology of Web Service Classification can be widely used in the area of service applications. With the rapid growth of services, service classification turn to work in a poor performance. In this paper, we propose an efficient algorithm based on Locality Sensitive Hashing (LSH) to solve the service classification problem. This method is capable of high dimensional service classification as well. It is introduced that how to convert WSDL to vectors based on VSM. Then services are classified using LSH. We evaluate our approach and KNN method through experiment on different datasets. Two standards precision and recall are adopted to check the quality of service classification. The experiments have shown that our algorithm has a high performance and works stably.

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Applying Text Classification Algorithms in Web Services Robustness Testing

Cited by 13 publications

References 20 publications

A robustness testing approach for SOAP Web services

A robustness testing approach for SOAP Web services

Testing data-centric services using poor quality data: from relational to NoSQL document databases

Locality Sensitive Hashing Based Service Classification

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