Changes between Version 17 and Version 18 of TestManagerForTracPluginApi


Ignore:
Timestamp:
Jun 12, 2015, 12:30:05 PM (9 years ago)
Author:
figaro
Comment:

Typos, tagged as 'testing'

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  • TestManagerForTracPluginApi

    v17 v18  
    1 = Test Manager for Trac Plugin - Public API =
     1= Test Manager for Trac Plugin - Public API
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    3 [[BR]]
    43The [wiki:TestManagerForTracPlugin TestManager plugin] can be used programmatically to create and manage Test Catalogs, Test Cases and Test Plans, and to set the test execution outcomes of the Test Cases in a plan.
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    6 There are three main APIs available:
     5The following APIs are available:
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    8  * An '''[wiki:TestManagerForTracPluginRPCApi XML-RPC API]''', allowing you to remotely control your test artifacts using a standard XML-RPC protocol. For example, using the Python {{{xmlrpclib}}} library, you can get test object properties, create objects and so on with as few as two lines of code.
    9  * An '''[wiki:TestManagerForTracPluginRestfulApi HTTP RESTful API]''', allowing you to remotely control your test artifacts by means of simple HTTP GET requests,
    10  * A plain '''[wiki:TestManagerForTracPluginPythonApi Python API]''', allowing for components running in the Trac environment to have a fine-grained control over any artifact, managing their life-cycle, listening to events, reacting to status changes and workflow transitions.
     7 * An '''[wiki:TestManagerForTracPluginRPCApi XML-RPC API]''', allowing you to remotely control your test artefacts using a standard XML-RPC protocol. For example, using the Python {{{xmlrpclib}}} library, you can get test object properties, create objects and so on with as few as two lines of code.
     8 * An '''[wiki:TestManagerForTracPluginRestfulApi HTTP RESTful API]''', allowing you to remotely control your test artefacts by means of simple HTTP GET requests,
     9 * A plain '''[wiki:TestManagerForTracPluginPythonApi Python API]''', allowing for components running in the Trac environment to have a fine-grained control over any artefact, managing their life-cycle, listening to events, reacting to status changes and workflow transitions.
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