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Maven was created by Jason van Zyl in 2002 and began as a sub-project of Apache Turbine. In 2003 Maven was accepted as a top level Apache Software Foundation project. Version history: Version 1 - July 2004 - first critical milestone release (now at end of life). Version 2 - October 2005 - after about six months in beta cycles (now at end of life).
Test coverage in the test plan states what requirements will be verified during what stages of the product life. Test coverage is derived from design specifications and other requirements, such as safety standards or regulatory codes, where each requirement or specification of the design ideally will have one or more corresponding means of verification.
Apache Ivy is a transitive package manager.It is a sub-project of the Apache Ant project, with which Ivy works to resolve project dependencies. An external XML file defines project dependencies and lists the resources necessary to build a project.
The Apache Thrift API client/server architecture. Thrift includes a complete stack for creating clients and servers. [9] The top part is generated code from the Thrift definition. From this file, the services generate client and processor codes. In contrast to built-in types, created data structures are sent as a result of generated code.
Apache JMeter is an Apache project that can be used as a load testing tool for analyzing and measuring the performance of a variety of services, with a focus on web applications. JMeter can be used as a unit-test tool for JDBC database connections, [ 2 ] FTP , [ 3 ] LDAP , [ 4 ] web services , [ 5 ] JMS , [ 6 ] HTTP , [ 7 ] generic TCP ...
Cochran's test, [1] named after William G. Cochran, is a one-sided upper limit variance outlier statistical test .The C test is used to decide if a single estimate of a variance (or a standard deviation) is significantly larger than a group of variances (or standard deviations) with which the single estimate is supposed to be comparable.
The Anderson–Darling test is a statistical test of whether a given sample of data is drawn from a given probability distribution. In its basic form, the test assumes that there are no parameters to be estimated in the distribution being tested, in which case the test and its set of critical values is distribution-free.
The logrank test statistic compares estimates of the hazard functions of the two groups at each observed event time. It is constructed by computing the observed and expected number of events in one of the groups at each observed event time and then adding these to obtain an overall summary across all-time points where there is an event.