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Empirical Comparison of Black-box Test Case Generation Tools for RESTful APIs

Authors: Corradini, Davide; Zampieri, Amedeo; Pasqua, Michele; Ceccato, Mariano;

Empirical Comparison of Black-box Test Case Generation Tools for RESTful APIs

Abstract

In literature, we can find research tools to automatically generate test cases for RESTful APIs, addressing the specificity of this particular programming domain. However, no direct comparison of these tools is available to guide developers in deciding which tool best fits their REST API project. In this paper, we present the results of an empirical comparison of automated black-box test case generation approaches for REST APIs. We surveyed the available black-box testing tools that have been proposed in recent literature, finding four usable prototypes: RestTestGen, RESTler, bBOXRT and RESTest. We used these tools to generate test cases for 14 real-world REST services. Then, testing results have been analyzed and compared in terms of robustness (i.e., success rate) and test coverage. Among the considered tools, RESTler appears to be the most solid, able to successfully test all case studies (the other tools experienced crashes). Conversely, test cases generated by RestTestGen scored the highest coverage, suggesting that its testing strategy is the most effective in testing REST APIs.

Country
Italy
Related Organizations
Keywords

Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, REST API, Test coverage, Black-box testing, Automated software testing, Experimental comparison

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
Green