Performance Testing Framework for REST-Based Web Applications

Kao, Chia Hung; Lin, Chun-Cheng; Chen, Juei-Nan

doi:10.1109/qsic.2013.32

Cited by 21 publications

(8 citation statements)

References 8 publications

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“…The choice of programming languages varies between load drivers. For example, the language could be generic programming languages like C++ [129], Javascript [128], Java [146] or XML [147]; or domain specific languages, which enable easy specifications of test environment components like the setup/configration of database, network and storage [148] and or for specialized systems (e.g., TTCN-3 for telecommunication systems [28]). c) Store-and-replay Configuration…”

Section: B) Programable Configurationmentioning

confidence: 99%

A Survey on Load Testing of Large-Scale Software Systems

Jiang

Hassan²

2015

IIEEE Trans. Software Eng.

144

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Many large-scale software systems must service thousands or millions of concurrent requests. These systems must be load tested to ensure that they can function correctly under load (i.e., the rate of the incoming requests). In this paper, we survey the state of load testing research and practice. We compare and contrast current techniques that are used in the three phases of a load test: (1) designing a proper load, (2) executing a load test, and (3) analyzing the results of a load test. This survey will be useful for load testing practitioners and software engineering researchers with interest in the load testing of large-scale software systems.

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Section: B) Programable Configurationmentioning

confidence: 99%

A Survey on Load Testing of Large-Scale Software Systems

Jiang

Hassan²

2015

IIEEE Trans. Software Eng.

144

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“…Chia Hung Kao et.al [5] introduce the testing framework for REST based web applications and examine their performance. The software tester provides an unified process for test case composition and test scripts generation for the tests' execution.…”

Section: Related Workmentioning

confidence: 99%

API Features Individualizing of Web Services: REST and SOAP

2019

IJITEE

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Web Services are combination of open protocols and standards to allow communication between client and server. It provides an interoperability between contrasting applications. Representational state Transfer (REST) and Simple Object Access Protocol (SOAP) are the two main popular used web services now-a-days. REST is an architectural style based, whereas SOAP is a underlying protocol. Both services are used to handle the communication on the world wide web (www). Both services have some advantages and drawbacks and it is the decision of web developer to decide which service is best to use according to its requirements. The aim of this research work is to design a REST API and SOAP API by JAX-RS and JAX-WS, respectively and gives a comparative analysis of Application Programming Interface (API) features (in terms of response time, memory usage, execution speed and so on) of these services by using API testing tool like Postman. This gives insight view of which service is better to use as per requirements. The result of experiments shows that the response time of SOAP is approximate takes 4ms to 7ms more than REST. It has been observed that as number of API increases, SOAP takes approximate 1MB to 2MB more memory usage than REST

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“…There are also cloud-based performance testing frameworks, such as SOASTA's CloudTest [20] and LoadStorm [17]. There are also some frameworks proposed in literature for fractal based [21], REST web application [22], and better automation [23].…”

Section: Related Workmentioning

confidence: 99%

Distance Based Root Cause Analysis and Change Impact Analysis of Performance Regressions

Zhou

2015

Mathematical Problems in Engineering

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Performance regression testing is applied to uncover both performance and functional problems of software releases. A performance problem revealed by performance testing can be high response time, low throughput, or even being out of service. Mature performance testing process helps systematically detect software performance problems. However, it is difficult to identify the root cause and evaluate the potential change impact. In this paper, we present an approach leveraging server side logs for identifying root causes of performance problems. Firstly, server side logs are used to recover call tree of each business transaction. We define a novel distance based metric computed from call trees for root cause analysis and apply inverted index from methods to business transactions for change impact analysis. Empirical studies show that our approach can effectively and efficiently help developers diagnose root cause of performance problems.

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Performance Testing Framework for REST-Based Web Applications

Cited by 21 publications

References 8 publications

A Survey on Load Testing of Large-Scale Software Systems

A Survey on Load Testing of Large-Scale Software Systems

API Features Individualizing of Web Services: REST and SOAP

Distance Based Root Cause Analysis and Change Impact Analysis of Performance Regressions

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