Friday 3rd of May 2024
 

Improving Regression Testing through Modified Ant Colony Algorithm on a Dependency Injected Test Pattern


G.Keerthi Lakshmi and K.Vivekanandan

Performing regression testing on a pre production environment is often viewed by software practitioners as a daunting task since often the test execution shall by-pass the stipulated downtime or the test coverage would be non linear. Choosing the exact test cases to match this type of complexity not only needs prior knowledge of the system, but also a right use of calculations to set the goals right. On systems that are just entering the production environment after getting promoted from the staging phase, trade-offs are often needed to between time and the test coverage to ensure the maximum test cases are covered within the stipulated time. There arises a need to refine the test cases to accommodate the maximum test coverage it makes within the stipulated period of time since at most of the times, the most important test cases are often not deemed to qualify under the sanity test suite and any bugs that creped in them would go undetected until it is found out by the actual user at firsthand. Hence An attempt has been made in the paper to layout a testing framework to address the process of improving the regression suite by adopting a modified version of the Ant Colony Algorithm over and thus dynamically injecting dependency over the best route encompassed by the ant colony.

Keywords: Regression testing, Software Testing, Ant colony, Dependency Injection

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ABOUT THE AUTHORS

G.Keerthi Lakshmi
Keerthilakshmi has about 7 years of experience in the field of software engineering. She started her career as a web developer and later gained experience in multiple facets of software engineering including data warehousing, Database testing and Medical Systems. She is currently persuing her Phd in the field of software testing at Bharathiar University, Coimbatore.

K.Vivekanandan
Dr.K.Vivekanandan has a vast experience in systems and information technology domain. He was previously associated with the National University of Rwanda, Butare as Associate Professor and had indulged in a collaborative research work in Information Systems area which was completed successfully. He has participated in various international conferences and his papers got published in many leading international journals.


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