Automated Test Data Generation for Dynamic Branch Coverage

Generating Test Data for Branch Coverage

Branch coverage is an important criteria used during the structural testing of programs. In this paper, we present a new program execution based approach to generate input data that exercises a selected branch in a program. The test data generation is initiated with an arbitrarily chosen input from the input domain of the program. A new input is derived from the initial input in an attempt to f...

Coverage-driven Automated Compiler Test Suite Generation

Generation of Branch Coverage Test Data for Simulink/Stateflow Models Using Crest Tool

Automated test suite generation is an optimization technique to reduce test effort and duration. Software Testing has traditionally been one of the main techniques contributing to high software quality and dependability. Testing performance consumes about 50% of software development resources, so any methods aiming at reducing softwaretesting costs are likely to reduce software development cost...

SAT Based Automated Test Case Generation For MUMCUT Coverage

MUMCUT is a criterion for testing Boolean specifications. The traditional test case generation methods for this problem are based on approximate approaches. The efficiency of these algorithms depend on the designers’ experience on this coverage. In this paper, the authors apply SAT based method to solve this problem. Two SAT solvers, walksat and zChaff, are employed to generate approximate and ...

Automated Software Test Data Generation

Abstracr-Test data generation in program testing is the process of identifying a set of test data which satisfies given testing criterion. Most of the existing test data generators 161, [It], [lo], [16], [30] use symbolic evaluation to derive test data. However, in practical programs this technique frequently requires complex algebraic manipulations, especially in the presence of arrays. In thi...