The proposed work emphasizes on the automated process of test data generation for unit
testing of structured programs, targeting complete path coverage of the software under test …

This chapter presents an overview of some widely accepted bio-inspired metaheuristic
algorithms which would be helpful in solving the problems of software testing. Testing is an …

Exhaustive testing is never the appropriate approach in software testing as this violates the
principle of cost effectiveness in software development as well as puts time and other …

Software testing is a very important phase in the development of software. Testing includes
the generation of test cases which, if done manually, is time consuming. To automate this …

Software testing is meant to increase confidence in the correctness of software. Due to time,
cost and other resource constraints, manual testing is highly impractical and undesirable …

Software testing is the most important phase of the software development lifecycle in the
software industry. It is done to make sure that developed software is defect free; behavior of …

Automated software test data is a process of generating data that satisfies a given criterion.
Search-based techniques are being effectively used in various fields of software …

Test case generation and optimization is the foremost requirement of software evolution and
test automation. In this paper, a bio-inspired Crow Search Algorithm (CSA) is suggested with …

Generating test data for a complex domain is still a challenging area of research in software
testing, which builds the test suites for validating the system. The quality of test cases …

Automation of test data generation is of prime importance in software testing because of the
high cost and time incurred in manual testing. This paper proposes an Improved Crow …