A heuristic-based regression test case prioritization approach for object-oriented programs

Panigrahi, Chhabi Rani; Mall, Rajib

doi:10.1007/s11334-013-0221-z

Cited by 24 publications

(34 citation statements)

References 27 publications

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“…They conducted an experimental analysis on eight case study applications to evaluate the effectiveness of extending the following four techniques: Harrold Gupta Soa , delayed greedy, traditional greedy and optimal greedy algorithm, whereas Rani et al . introduced a hybrid technique for regression test cases selection for object‐oriented programming. This technique was based on both the source code of an object‐oriented program and the UML state machine models of the affected classes.…”

Section: Related Workmentioning

confidence: 99%

Cluster‐based test cases prioritization and selection technique for agile regression testing

Kandil

Moussa

Badr

2016

J Software Evolu Process

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Regression testing repeatedly executes test cases of previous builds to validate that the original features are not affected with any new changes. In recent years, regression testing has seen a remarkable progress with the increasing popularity of agile methods, which stress the central role of regression testing in maintaining software quality. The optimum case for regression testing in agile context is to run regression set at the end of each sprint and release, which requires a lot of cost and time. In this paper, we present an automated agile regression testing approach on both the sprints and release levels. The proposed approach addresses both weighted sprint test cases prioritization technique, which prioritizes test cases based on several parameters having real practical weight for testers, and Cluster‐based Release Test cases Selection technique that clusters user stories based on the similarity of covered modules to solve the scalability issue. Test cases are then selected based on issues logged for failed test cases using text mining techniques. The proposed approach achieves enhancement for both the prioritization and selection of test cases for agile regression testing. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Related Workmentioning

confidence: 99%

Cluster‐based test cases prioritization and selection technique for agile regression testing

Kandil

Moussa

Badr

2016

J Software Evolu Process

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“…In recent years different methods for model based testing have been presented. For example, in [7] test cases have been prioritized by a generic tool. This tool uses activity diagram to generate use cases.…”

Section: Related Workmentioning

confidence: 99%

“…This tool uses activity diagram to generate use cases. Then they prioritized the test cases based on depth, parameters and code coverage [7]. Rishi et al [8] generated tests from sequence diagram in the design step of software life cycle.…”

Section: Related Workmentioning

confidence: 99%

Using memetic algorithms for test case prioritization in model based software testing

Nejad

Akbari

Dejam

2016

2016 1st Conference on Swarm Intelligence and Evolutionary Computation (CSIEC)

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Building high quality software is one of the main goals in software industry. Software testing is a critical step in confirming the quality of software. Testing is an expensive activity because it consumes about 30% to 50% of all software developing cost. Today much research has been done in generating and prioritizing tests. First, tester should find the most important and critical path in software. They can reduce cost by finding errors and preventing to propagate it in design step. In this paper, a model based testing method is introduced. This method can prioritize tests using activity diagram, control flow graph, genetic and memetic algorithm. Different version of memetic algorithm has been made by stochastic local search, randomize iterative improvement, hill climbing and simulated annealing algorithms. The results show that the using local search methods with genetic algorithm (GA) provide efficiency and produce competitive results in comparison with GA.

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“…Researchers have also proposed various approaches [17,18,19,20,21,22,23,24,25,26,27]to address the issues related to prioritization.…”

Section: Introductionmentioning

confidence: 99%

“…A heuristic-based test case prioritization approach for object-oriented programs was presented in [18]. The technique was based on analysis of dependence model, as improvement for technique presented in [17].…”

Section: Introductionmentioning

confidence: 99%

Regression Test Case Selection &PrioritizationUsing Dependence Graph and Genetic Algorithm

Musa¹,

Sultan²,

Ghani³

et al. 2014

IOSRJCE

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A heuristic-based regression test case prioritization approach for object-oriented programs

Cited by 24 publications

References 27 publications

Cluster‐based test cases prioritization and selection technique for agile regression testing

Cluster‐based test cases prioritization and selection technique for agile regression testing

Using memetic algorithms for test case prioritization in model based software testing

Regression Test Case Selection &PrioritizationUsing Dependence Graph and Genetic Algorithm

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