AN/ALE-47(V) Software Test Environment Automated Scenario and Mission Data File Test Generator Software
Navy SBIR FY2018.1


Sol No.: Navy SBIR FY2018.1
Topic No.: N181-025
Topic Title: AN/ALE-47(V) Software Test Environment Automated Scenario and Mission Data File Test Generator Software
Proposal No.: N181-025-0577
Firm: SimVentions, Inc.
100 Riverside Parkway
Suite 123
Fredericksburg, Virginia 22406
Contact: Allen Hou
Phone: (540) 372-7727
Web Site: http://www.simventions.com
Abstract: The need exists for an automated test generation, execution, and data reduction/analysis tool to evaluate various configurations of the AN/ALE-47 Countermeasure Dispenser System Mission Data Files (MDFs) prior to fielding new configurations. SimVentions proposes an AN/ALE-47 Automated Test Engine (A2TE) that interfaces to the existing AN/ALE-47 Software Test Environment (STE) to automate the different phases of the testing. The A2TE will utilize dynamic message discovery, extraction, and validation by leveraging and modifying existing SimVentions tools to support test scenario generation, setup, and execution of multiple scenarios to provide automated operator and sensor inputs to test the system performance, without manual intervention. This test engine will implement a model-based system characterization of the different MDF configurations to evaluate system performance using automated data reduction and analysis to provide reporting. To facilitate test scenario setup and provide a foundation for scenario development, a generic framework for defining scenario conditions and inputs, message contents, valid sequences, timing, and expected responses will be developed. The intent is to combine these new test engine components with existing test capability in the AN/ALE-47 STE, to provide an automated test solution to increase software reliability and reduce cost and schedule related to the manual test process.
Benefits: The A2TE will provide a capability that can be adapted to any software-driven systems that are used in varying configurations which require sensor and operator inputs and interaction. It can adapt to different interface specifications and provide test results automatically. It can serve as a rapid regression testing tool for re-baselining system performance when software changes are made or when new functionality is implemented. Because the framework is generic, it can be adapted to fit any systemÉ?Ts test needs and reduces manually intensive labor and provides a robust test program by realizing cost, schedule savings while increasing reliability of system performance.

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