Markov approach for quantifying the software code coverage using genetic algorithm in software testing.
M. BoopathiSujatha RamalingamSenthil Kumar ChandranS. NarasimmanA. RajanPublished in: Int. J. Bio Inspired Comput. (2019)
Keyphrases
- software testing
- code coverage
- genetic algorithm
- test cases
- software development
- software systems
- software reliability
- quality assurance
- control flow
- test case generation
- fault localization
- test data generation
- software engineering
- testing process
- regression testing
- test generation
- integration testing
- test suite
- information systems
- white box testing
- neural network
- databases
- formal specification
- fitness function
- evolutionary algorithm
- unit testing
- software design
- test data
- software product
- object oriented
- cooperative
- database systems
- decision trees
- artificial intelligence
- learning algorithm
- machine learning
- model based testing