Regression Test Suite Optimization Using Adaptive Neuro Fuzzy Inference System

Haider, Aftab Ali; Nadeem, Aamer; Akram, Shamaila

doi:10.1109/fit.2016.018

Cited by 2 publications

(1 citation statement)

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“…Alakeel [3] has presented a novel approach for test cases prioritization using fuzzy logic for the purpose of regression testing programs with assertions. Haider et al [4] have proposed an expert system that finds a tradeoff among the quality aspects, technique used and level of testing based on objective function defined by the tester, quite similar to human judgment using fuzzy logic based classification. Haider et al [5] have concluded that ANFIS can be used to automate the optimization process.…”

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%