Abstract:
A method for model-based design of safety-critical software is disclosed. The method includes receiving natural-language software requirements, developing a specification model by implementing either semantic modeling or graphical modeling, applying formal requirements analysis to the specification model, auto generating requirements based and robustness test cases from the specification model, developing a design model based on the specification model, applying test cases to the design model, auto-generating source code using the design model, verifying the source code using both test cases and static analysis technology, and compiling executable object code from the verified source code. If a result of the analysis of the software specification or design models is not satisfactory then adjusting the specification or design model to correct any inconsistency, and repeating applying the analysis and test cases. A system for implementing the model-based design and a non-transitory computer readable medium are disclosed.
Abstract:
According to some embodiments, an Arbitrary Software Logic Modeling (“ASLM”) data source may store electronic records associated with units, each electronic record including a unit identifier, one or more identification tags, context data, unit parameters, unit variables, and internal logic. An ASLM platform may express system requirements at a logic block level and establish the logic blocks as self-contained entities and connections in accordance with the system requirements (the established logic blocks graphically representing systems logic). The ASLM platform may then explicitly transform the systems logic automatically to output language agnostic common design information exchange model information. The ASLM platform may also translate and maintain traceability among the system requirements, common design information exchange model information, and generated code.
Abstract:
A method for model-based design of safety-critical software is disclosed. The method includes receiving natural-language software requirements, developing a specification model by implementing either semantic modeling or graphical modeling, applying formal requirements analysis to the specification model, auto generating requirements based and robustness test cases from the specification model, developing a design model based on the specification model, applying test cases to the design model, auto-generating source code using the design model, verifying the source code using both test cases and static analysis technology, and compiling executable object code from the verified source code. If a result of the analysis of the software specification or design models is not satisfactory then adjusting the specification or design model to correct any inconsistency, and repeating applying the analysis and test cases. A system for implementing the model-based design and a non-transitory computer readable medium are disclosed.
Abstract:
A computer-implemented system for generating test cases and/or test procedures to verify software having a nonlinear arithmetic constraint over a Real number range. The system includes a translator that receives, as input, software specification models for the software to be verified. The translator is configured to generate, as output, a plurality of SMT formulas that are semantically equivalent to the software specification models. The system includes an analytical engine pool that receives, as input, the plurality of SMT formulas from the translator and analyzes the plurality of SMT formulas, and generates, as output, test case data for each of the plurality of SMT formulas determined to be satisfiable. The system includes a post-processor that receives, as input, the test case data from the analytical engine pool and generates, as output, the test cases and/or test procedures for the software to be verified based on the test case data.
Abstract:
A method for automated test case augmentation includes receiving, at an automated test augmentation system, a design model and model coverage gap information from a model-based development tool, translating the model coverage gap information into machine-readable mathematical test objective expressions, developing a set of test objective operators by translating the machine-readable mathematical test objective expressions, localizing target operators for the identified coverage gaps within the design model, attaching the test objective operators to target operators of the design model to create a test model, augmenting the test model by propagating test objectives at the target operators to a test node operator of the design model, and executing, by a test generator, the augmented test model to obtain the test cases to cover the coverage gaps and the causes for the model coverage gaps. A system for implementing the model-based design and a non-transitory computer readable medium are also disclosed.
Abstract:
A computer-implemented system for generating test cases and/or test procedures to verify software having a nonlinear arithmetic constraint over a Real number range. The system includes a translator that receives, as input, software specification models for the software to be verified. The translator is configured to generate, as output, a plurality of SMT formulas that are semantically equivalent to the software specification models. The system includes an analytical engine pool that receives, as input, the plurality of SMT formulas from the translator and analyzes the plurality of SMT formulas, and generates, as output, test case data for each of the plurality of SMT formulas determined to be satisfiable. The system includes a post-processor that receives, as input, the test case data from the analytical engine pool and generates, as output, the test cases and/or test procedures for the software to be verified based on the test case data.