Machine learning (ML) and deep learning (DL) analyze raw data to extract valuable insights
in specific phases. The rise of continuous practices in software projects emphasizes …

Continuous Integration (CI) has become a well-established software development practice
for automatically and continuously integrating code changes during software development …

Unlike most other software quality attributes, testability cannot be evaluated solely based on
the characteristics of the source code. The effectiveness of the test suite and the budget …

The high cost of the test can be dramatically reduced, provided that the coverability as an
inherent feature of the code under test is predictable. This article offers a machine learning …

Test-first development (TFD) is a software development approach involving automated tests
before writing the actual code. TFD offers many benefits, such as improving code quality …

Automated test generation can reduce the manual effort in improving software quality. A test
generation method employs code coverage, such as the widely-used branch coverage, to …

Continuous integration (CI) is a software engineering practice that advocates the frequent
integration of software through an automated build process. Existing research has explored …

A fuzzer can literally run forever. However, as more resources are spent, the coverage rate
continuously drops, and the utility of the fuzzer declines. To tackle this coverage-resource …

Automated test data generation is a traditional technique for reducing the cost and time of
software testing. Various metaheuristic techniques have been successfully applied for this …

Context The quality of software systems is significantly influenced by design testability, an
aspect often overlooked during the initial phases of software development. The …