Abstract: In the field of computer science, software testing is referred as a critical process which is executed in order to assess and analyze the performance and risks existing in software applications. There is an emphasis on integrating specific approaches to carry out testing activities in an effective mode; the efficient strategy being explored recently is adopting hybrid database approach. For this purpose, a hybrid algorithm will be proposed to ensure the functionality and outcomes of testing procedure. The technical processes and its impact on current methodology would help to evaluate its effectiveness in software testing through which specific conclusions could be drawn. The findings of the research will elaborate effectiveness of the proposed algorithm that would be used in software testing. It would be suggested that new technology is easier and simple to assess and analyze the reliability of the software. Basically, hybrid database approach comprises of traditional and modern techniques that are deployed in order to achieve testing outcomes. It is explored from various testing methods that challenges have been identified related to focusing on traditional techniques due to which hybrid approach is now being developed in most of the areas. In the light of addressing these concepts, the paper aims to investigate the complexity and efficiency of hybrid database approach in software testing, as well as its scope in the IT industry.

Humma Nargis Aleem, Mirza Mahmood Baig and Muhammad Mubashir Khan, “Efficient Software Testing Technique based on Hybrid Database Approach” International Journal of Advanced Computer Science and Applications(IJACSA), 10(7), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100748

@article{Aleem2019,
title = {Efficient Software Testing Technique based on Hybrid Database Approach},
journal = {International Journal of Advanced Computer Science and Applications}
doi = {10.14569/IJACSA.2019.0100748},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100748},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {7},
author = {Humma Nargis Aleem and Mirza Mahmood Baig and Muhammad Mubashir Khan},
}