Test suite optimization using fuzzy logic

Haider, Aftab Ali; Rafiq, Shahzad; Nadeem, Aamer

doi:10.1109/icet.2012.6375440

Cited by 19 publications

(30 citation statements)

References 6 publications

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“…Regression test suites have been optimized using genetic algorithms and its variants [13][14][15][16]. These approaches implement single objective optimization using pure essence of genetic algorithms [6]. Multi objective genetic algorithms have been used by Yoo and Harman [5] for test suite optimization.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…In order to ensure that there is no ripple effect of these changes, system is regression tested [2], A regression test suite comprises the test cases previously passed by the system software [4], Additional test cases are written for the changed part of the system [6]. Once the system qualifies, additional test cases also become part of the regression test suite [2], Systems keep on undergoing frequent requirement changes due to corrective, preventive, perfective or adaptive actions [1], These changes tremendously increase the size of test suite [6]. The safest regression testing is 'retest all' strategy but in some cases, it may spend months to execute the entire test suite [2], In order to perform the regression testing within the desired budget by spending lesser time requires finding a representative subset of test cases for the entire test suite [4], Any reduction in test suite may render test suite 'unsafe' and 'inadequate' for testing [2], This subset must guarantee 'safe reduction'.…”

Section: Introductionmentioning

confidence: 99%

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Computational intelligence and safe reduction of test suite

Haider

Nadeem

Rafiq

2013

2013 IEEE 9th International Conference on Emerging Technologies (ICET)

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Systems are frequently regression tested during the maintenance phase due to corrective, preventive, adaptive or perfective actions. Regression testing is used to prevent the undesirable effects of these changes on the previously tested version. Due to these changes, new test cases become part of the test suite making it huge and inefficient for 'retest all' strategy. The ultimate solution of this problem is optimization or reduction of the test suite. Computational Intelligence (CI) based approaches like evolutionary computation, fuzzy logic, neural networks and swarm optimization have been used for test suite reduction. Optimization approaches reduce the test suite by compromising its safety. Ideally optimization of test suite must guarantee safe reduction. In this work, we have optimized the test suite using some CI based approaches and then analysed the test suite for 'safe reduction'. Safe reduction can be gauged using control flow graphs. Test cases of optimal solutions were traversed on these graphs. We found that these solutions partially cover control flow graph. This showed that optimal solutions returned by CI based approaches except fuzzy logic are not safe and will be inadequate for regression testing.Index Terms-test suite optimization, regression testing, multi objective optimization, safe reduction, fuzzy logic, evolutionary algorithms, swarm optimization, computational intelligence.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Computational intelligence and safe reduction of test suite

Haider

Nadeem

Rafiq

2013

2013 IEEE 9th International Conference on Emerging Technologies (ICET)

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“…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. Shamshiri et al [6] have reported an empirical study on the effects of using a genetic algorithm (GA) to generate test suites over generating test suites incrementally with random search, by applying the Evo Suite unit test suite generator to 1,000 classes randomly selected from the SF110 corpus of open source projects.…”

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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“…Therefore, in [31] they aim to find a test suite that is optimal for multi-objective regression testing. They propose an expert system that use a technique and level of testing based on a defined objective function, similar to human judgment using fuzzy logic based classification.…”

Section: Fuzzy Logicmentioning

confidence: 99%

Test Case Reduction Techniques - Survey

Alian¹,

Suleiman²,

Shaout³

2016

ijacsa

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Abstract-Regression testing is considered to be the most expensive phase in software testing. Therefore, regression testing reduction eliminates the redundant test cases in the regression testing suite and saves cost of this phase. In order to validate the correctness of the new version software project that resulted from maintenance phase, Regression testing reruns the regression testing suite to ensure that the new version. Several techniques are used to deal with the problem of regression testing reduction. This research is going to classify these techniques regression testing reduction problem.

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Test suite optimization using fuzzy logic

Cited by 19 publications

References 6 publications

Computational intelligence and safe reduction of test suite

Computational intelligence and safe reduction of test suite

Minimization of Test Suites for Fuzzy Object-Oriented Database

Test Case Reduction Techniques - Survey

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