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Java Server-Side Testing framework (JSST) [313] Java Server-Side Testing framework which is based on the similar idea to the one of Apache CACTUS, but unlike CACTUS it's not coupled to JUnit 3.x and can be used with any testing framework. JBehave [314] Behavior-driven development: JDave [315] Behavior-driven development: JExample: Yes [316]
The software is designed to be used as a load testing tool for analyzing and measuring the performance of a variety of services, with a focus on web applications, APIs, and microservices. Gatling was mentioned twice in ThoughtWorks Technology Radar, in 2013 and 2014, [ 2 ] "as a tool worth trying", [ 2 ] with an emphasis on "the interesting ...
Testing framework(s) DB migration framework(s) Security framework(s) Template framework(s) Caching framework(s) Form validation framework(s) AngularJS: XHR, JSONP Yes i18n and l10n Karma (unit testing), Protractor (end-to-end testing) Content Security Policy (CSP), XSRF Templates Caching Form validation (client-side) EmberJS: Yes Yes Yes Ember Data
Load testing (stress/performance testing) a web server can be performed using automation/analysis tools such as: Apache JMeter, an open-source Java load testing tool; ApacheBench (or ab), a command line program bundled with Apache HTTP Server; Siege, an open-source web-server load testing and benchmarking tool; Wrk, an open-source C load ...
Load testing is the simplest form of performance testing. A load test is usually conducted to understand the behavior of the system under a specific expected load. This load can be the expected concurrent number of users on the application performing a specific number of transactions within the set duration.
The second set of performance metrics measures the computational resources used by the application for the load, indicating whether there is adequate capacity to support the load, as well as possible locations of a performance bottleneck. Measurement of these quantities establishes an empirical performance baseline for the application.
The Test Template Framework (TTF) is a model-based testing (MBT) framework proposed by Phil Stocks and David Carrington in (Stocks & Carrington 1996) for the purpose of software testing. Although the TTF was meant to be notation-independent, the original presentation was made using the Z formal notation .
Performance measures include elapsed time of the test, the amount of data transferred (including headers), the response time of the server, its transaction rate, its throughput, its concurrency and the number of times it returned OK. These measures are quantified and reported at the end of each run. [4] This is a sample of siege output: