Uses of Class
testoptimal.api.APIError

Packages that use APIError

Package	Description
<Unnamed>
testoptimal.api

Uses of APIError in <Unnamed>

Methods in <Unnamed> that throw APIError

Modifier and Type	Method and Description
void	test_Agent.init()
void	test_Graph.init()
void	test_Model.init()
void	test_Agent.test_all()
void	test_Model.test_close()
void	test_COMB.test_gen_with_relation()
void	test_COMB.test_gen()
void	test_Model.test_generate_default()
void	test_Model.test_generate_optimal()
void	test_Model.test_generate_pairwise()
void	test_Model.test_generate_partial_optimal()
void	test_Model.test_generate_partial_serial()
void	test_Model.test_generate_priority()
void	test_Model.test_generate_random()
void	test_Graph.test_graph_coverage()
void	test_Graph.test_graph_model()
void	test_Graph.test_graph_msc()
void	test_Graph.test_graph_sequence()
void	test_COMB.test_save()

Uses of APIError in testoptimal.api

Methods in testoptimal.api that throw APIError

Modifier and Type	Method and Description
void	AgentAPI.closeModel(String modelName_p) to close the model (release memory).
void	ModelAPI.closeModel(String modelName_p) closes the model (to release memory).
RunResult	DataSetAPI.generate(String dsName_p, Constants.Algorithm alg_p) generate data table for a data set (uploaded).
RunResult	ModelAPI.genPaths(String modelName_p) generate test paths (test cases) for a model (uploaded) using the default Optimal sequencer.
RunResult	ModelAPI.genPaths(String modelName_p, Constants.MbtMode mbtMode_p) generate test paths (test cases) for a model (uploaded).
RunResult	ModelAPI.genPaths(String modelName_p, Constants.MbtMode mbtMode_p, int timeoutMillis_p) generate test paths (test cases) for a model (uploaded).
RunResult	ModelAPI.genPathsPartial(String modelName_p, List<Trans> transList_p, boolean optimal_p) generate test paths (test cases) to cover a subset of transitions in a model.
RunResult	ModelAPI.genPathsPartial(String modelName_p, List<Trans> transList_p, boolean optimal_p, int timeoutMillis_p) generate test paths (test cases) to cover a subset of transitions in a model.
protected String	Server.getGraph(String modelName_p, String graphType_p, String outFilePath_p)
String	ModelAPI.getGraphCoverage(String modelName_p, String outFilePath_p) download coverage graph for current model execution.
String	ModelAPI.getGraphModel(String modelName_p, String outFilePath_p) download model graph.
String	ModelAPI.getGraphMSC(String modelName_p, String outFilePath_p) download MSC graph for current model execution.
String	ModelAPI.getGraphSequence(String modelName_p, String outFilePath_p) download sequence/traversal graph for current model execution.
RunResult	AgentAPI.getModelStats(String modelName_p) retrieves model execution stats for a model execution
String	AgentAPI.getNextCmd() retrieves the next command from the model.
String	AgentAPI.getNextCmd(long timeoutMillis_p) retrieves the next command from the model.
String	AgentAPI.regAgent(String modelName_p) register agent to TestOptimal to be connected to the running model.
protected String	Server.sendGet(String facilityName_p, String cmd_p, String param_p, int expectedStatusCode_p)
protected String	Server.sendPost(String facilityName_p, String cmd_p, String body_p, int expectedStatusCode_p)
protected String	Server.sendPut(String facilityName_p, String cmd_p, String body_p, int expectedStatusCode_p)
String	AgentAPI.setResult(boolean isSuccess_p, String result_p) sends the result back to the model to be recorded.
String	AgentAPI.setResult(boolean isSuccess_p, String result_p, String reqTag_p)
String	AgentAPI.setResult(boolean isSuccess_p, String result_p, String reqTag_p, String assertID_p)
String	AgentAPI.setResult(boolean isSuccess_p, String result_p, String reqTag_p, String assertID_p, Map<String,Object> moreAttrs_p)
String	AgentAPI.startModel(String modelName_p) starts model execution on TestOptimal server with default sequencer Optimal.
String	AgentAPI.startModel(String modelName_p, Constants.MbtMode mbtMode_p) starts model execution on TestOptimal server with specified sequencer/MBT Mode.
String	AgentAPI.startModel(String modelName_p, List<Trans> transList_p, boolean optimal_p) starts model execution on TestOptimal server to cover the transitions specified.
void	AgentAPI.stopModel() to interrupt model execution.
void	DataSetAPI.upload(DataSet ds_p) uploads a dataset to TestOptimal server.
void	ModelAPI.upload(Model model_p) uploads a model to TestOptimal server.