An empirical study of automated unit test generation for Python

LIPS vs MOSA: A Replicated Empirical Study on Automated Test Case Generation

Replication is a fundamental pillar in the construction of scientific knowledge. Test data generation for procedural programs can be tackled using a single-target or a many-objective approach. The proponents of LIPS, a novel single-target test generator, conducted a preliminary empirical study to compare their approach with MOSA, an alternative many-objective test generator. However, their empi...

An Efficient Test Data Generation Approach for Unit Testing

To ensure the delivery of high-quality software, software testing plays the vital role. One of the major time-consuming and expensive activities in software testing is the generation of test data. Test data generation activity has a strong impact on the effectiveness and efficiency of the whole testing process. In order to reduce the cost and time involved in the process of test data generation...

An Empirical Study of the Cut-Off Point for the Iranian Version of Alcohol Use Disorders Identification Test (AUDIT)

Automated Test Generation

Testing remains the principal means of verification in many certification regimes. Formal methods of verification will coexist with testing and should be developed in ways that improve, supplement, and exploit the value of testing. I describe automated test generation, which uses technology from formal methods to mechanize the construction of test cases, and discuss some of the research challen...

AUTOMATED LACHMAN TEST FOR OBJECTIVE ASSESSMENT OF THE ACL

This was Presented in 5th International Congress of Iranian Iranian Society of Knee Surgery, Arthroscopy, and Sports Traumatology (ISKAST), 14-17 Feb 2018- Kish, Iran