There is a worldwide awareness of realizing the importance of software testing. Many universities now offer a course in software testing for undergraduate and graduate studies in Computer Science and Engineering, Computer Applications, Information Technology, Software Engineering and Electronics and Communication Engineering.

The book discusses software testing in the context of testing concepts and methods that can be implemented in practice. It has been designed as a main textbook for a course in software testing and as a useful resource for teachers and software practitioners.

The main features of this book are:

• It focuses on the importance, significance and limitations of software testing.

• It presents functional testing techniques that may help to design test cases without considering internal structure of the program.

• It presents structural testing techniques and introduces some fundamental structural testing techniques like control flow testing, dataflow testing, slice based testing and mutation testing.

• It promotes verification testing as an integral to modern software testing practices, equally as important as validation testing. Verification activities such as walkthroughs and inspections can be carried out at early phases of software development. Use case testing has also been introduced.

• It addresses important issues of selection, minimization and prioritization of test cases for regression testing. Complementary approaches for achieving adequate number of test cases during regression testing is also discussed in the book to show how to reduce maintenance cost.

• It presents software testing activities, debugging approaches and testing tools along with their commercial applications.

• It signifies the importance of object oriented testing. It also presents metrics used in software testing with their practical application in predicting models using commercial data sets.

• It emphasizes on testing web applications covering key areas such as functional testing, usability testing, user interface testing, security testing, performance testing, configuration and compatibility testing.

• It introduces the concepts of automated test data generation using static and dynamic test data generation techniques. Genetic algorithm is used for the generation of test data along with suitable examples.