• Neema Patel
• Neelabh Sao

As the complexity is increase in the software industry, generating an effective test data has become a necessity. Construction of test data in a software project is one of the major issues in the area of time consuming. The main agenda in the field of testing is to automate the testing process with the help of testing tools. Software testing includes test data generation, test case selection, test suite optimization. In this we proposed a technique Automated software test data generation that applies in IWD & ACO algorithm for generating the test data. Test data generation is done to satisfy all the requirements like functional, non function, business etc. Test data generation in program testing is the process of identifying a set of test data which satisfy the given test condition. In this research work, we propose an approach for automated software test data generation which will evaluating the different format of data on testing performance and estimating the computational factors like reliable of software, software quality, time and space requirements etc using integrated algorithm IWD & ACO. The main objective of this work is to enhance quality of different format of data type.

Software Testing, Test data generation, Intelligent water drop, Ant colony optimization

"Optimal Test Data Generation Using Hybrid Techniques IWD & ACO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 10, page no.91-98, October-2015, Available :http://www.jetir.org/papers/JETIR1510018.pdf

"Optimal Test Data Generation Using Hybrid Techniques IWD & ACO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 10, page no. pp91-98, October-2015, Available at : http://www.jetir.org/papers/JETIR1510018.pdf