Data Mining Based Optimization of Test Cases to Enhance the Reliability of the Testing

Raamesh, Lilly; Uma, G.

doi:10.1007/978-3-642-22555-0_10

Cited by 6 publications

(1 citation statement)

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“…Dinca [14] has introduced the multiobjective test suite optimization problem for Event-B testing. Raamesh and Uma [15] have utilized a hybrid, multi-objective algorithm that combines the efficient approximation of the evolutionary approach with the capability data mining algorithm to produce higher-quality test cases. Pattorn [16] has introduced the software testing techniques to test the designed software.…”

Section: Related Workmentioning

confidence: 99%

Minimization of Test Suites for Fuzzy Object-Oriented Database

Dwivedi¹,

Kumar²

2018

IJCA

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Test suite optimization is an effective method that is used to minimize or reduce the time and cost of testing. There are several researchers and software professionals have used this method or techniques to enhance the correctness and effectiveness of test suites/cases. These approaches optimize test suite for a single objective but fuzzy logic with certain algorithm is used to optimize the test cases/suites for multi objective selection processes. Therefore, in the present work an approach of optimization or minimization of test suites is proposed for the designed fuzzy object-oriented database and also applied this approach to reduce the complexity of the designed database. The main objective of our approach is to minimize and find the test suite that is best optimal for multiobjective testing.

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Section: Related Workmentioning

confidence: 99%