Genetic Algorithms: Concepts, Applications in Software Engineering and Test Data Generation using GA and Hamming Distance Approach

اسناد مشابه

• Software Security Test Data Generation Based on Genetic Algorithms

  سند علمی۲۰۰۹Qiong Li, Jinhua Li

  Software security is an important quality. The software security testing is one of the most important kinds of the software testing. How to test the software security, and especially to automatically generate security test cases are major problems. An improved method of the test

• Software Reliability Testing Data Generation Approach Based on a Mixture Model

  مقاله‌ی دسترسی آزاد۲۰۱۰Information Technology JournalWangXin, HanFeng-Yan, QinZheng

• Automated Software Test Data Generation for Data Flow Dependencies using Genetic Algorithm

  سند علمی۲۰۱۴Sapna Varshney, Monica Mehrotra

  Software testing is one of the most labor-intensive and expensive phase of the software development life cycle. Software testing includes test case generation and test suite optimization that has a strong impact on the effectiveness and efficiency of software testing. Over the pa

• Automatic Software Test Data Generation for Spanning Sets Coverage Using Genetic Algorithms

  سند علمی۲۰۰۷Computing and InformaticsA. M. Khamis, Moheb R. Girgis, Ahmed S. Ghiduk

  Software testing takes a considerable amount of time and resources spent on producing software. Therefore, it would be useful to have ways to reduce the cost of software testing. The new concepts of spanning sets of entities suggested by Marré and Bertolino are useful for reducin

• A Genetic Algorithm based Approach for Test Data Generation in Basis Path Testing

  سند علمی۲۰۱۴CoRRYeresime Suresh, Santanu Kumar Rath

  Software testing is a process to identify the quality and reliability of software, which can be achieved through the help of proper test data. However, doing this manually is a difficult task due to the presence ofhuge number of predicate nodes in the module. So, thisleads toward

• Comparative Evaluation of a Maximization and Minimization Approach for Test Data Generation with Genetic Algorithm and Binary Particle Swarm Optimization

  سند علمی۲۰۱۲Ankur Pachauri

  In search based test data generation, the problem of test data generation is reduced to that of function minimization or maximization.Traditionally, for branch testing, the problem of test data generation has been formulated as a minimization problem. In this paper we define an a