An Improved History-Based Test Prioritization Technique Technique Using Code Coverage

Gupta, Avinash; Mishra, Nayneesh; Tripathi, Aprna; Vardhan, Manu; Kushwaha, Dharmender Singh

doi:10.1007/978-3-319-07674-4_43

Cited by 10 publications

(4 citation statements)

References 20 publications

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“…Existing method consider all faults with same severity, which became the point of criticism for many further researchers. The extension of this work is proposed by Gupta et al [35] which unlike Kim and Porter [34] does not calculate TC based probability; instead consider modified lines of code for probability calculation used for ordering test cases. Author found result improvement compared to Kim and Porter [33].…”

Section: History Based Tcpmentioning

confidence: 99%

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Comparative analysis of Test Case Prioritization Approaches in Regression Testing

Paygude¹

2019

IJATCSE

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Testing is a huge time and cost consuming task in software development. Moving most of the testing strategies from manual to automation has significantly reduced time and efforts a lot. Still, regression testing pays a lot in time, effort and cost for testing the whole software for each change in the code. Thus, test case prioritization is highly researched and improved domain in last decade which covers and prioritizes all the test cases for early fault detection and cost saving. In this paper, 27 scholar articles are reviewed ranging from year 2000 to 2019. Objective of this paper is to review and compare top TCP approaches for their strengths and limitations. This comparative study will be beneficial for beginners and experts in the domain of TCP for further study.

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Section: History Based Tcpmentioning

confidence: 99%

“…Gupta et al [35] studied history based TCP approach that uses data of modified lines of code. The test cases covering modified lines of code were given first priority for execution.…”

Section: History Based Tcpmentioning

confidence: 99%

Comparative analysis of Test Case Prioritization Approaches in Regression Testing

Paygude¹

2019

IJATCSE

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“…The proposed MOPSO outperformed other approaches like No Ordering, Reverse Ordering and Random Ordering as it achieved maximum fault coverage and maximum value of APFD in minimum execution time. In [11], history-based approach for prioritizing the test cases was extended to modified lines. The modified lines were prioritized first and then subsequently followed by the test cases.…”

Section: Related Workmentioning

confidence: 99%

Performance Enhancement of Test Case Prioritization Using Hybrid Approach

Walia¹,

Bajaj²

2017

IJSEA

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Regression Testing is an indispensable part of software testing process. It validates all the modifications that have been introduced into the system throughout the development period. Although it is an expensive process in terms of time and cost, yet it cannot be avoided. Therefore, various techniques have been introduced in the past for reducing the expenses involved in this process. Test Case Prioritization is one such technique that schedules the execution order of test cases with an aim to improve the rate of fault detection. In this paper, a hybrid approach has been presented which is a combination of two approaches, Adaptive approach and Genetic algorithm. The approach works by firstly employing an adaptive approach to prioritize the test cases according to their statement coverage. Further, the leftover test cases are prioritized using Genetic Algorithm. Finally, the results of the proposed approach are compared with those of Genetic Algorithm based on two parameters: execution time and average percentage of statement coverage (APSC) values. The results confirm that the proposed approach performs better in terms of both parameters.

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“…The effectiveness and practicality of the proposed framework was shown by a simulation using two actual products. In [12], history-based approach to prioritize the test cases was extended to modified lines. Initially, the modified lines were prioritized, followed by the test cases.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

Performance Analysis of Hybrid Approach Comprising Genetic Algorithm and Adaptive Approach on Test Case Prioritization

Walia¹,

Bajaj²

2016

IJCA

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Regression testing is an important domain of software testing, which attempts to verify all the fixes that had been introduced into the software throughout its development period by means of test suites. In spite of being exorbitant in terms of time and cost, it cannot be evaded. As a result, lot many techniques have been proposed in the past in order to minimize these expenses. One such technique is Test Case Prioritization, which works by scheduling the execution order of test cases with a goal of improving the fault detection rate. This paper introduces a hybrid approach to test case prioritization, by combining Genetic Algorithm and Adaptive approach. Initially, it applies the Adaptive approach for the prioritization of test cases. Further, the left over test cases are prioritized by applying the Genetic Algorithm. Finally, the outcomes obtained from the proposed approach are compared with those of Genetic Algorithm based on two parameters: execution time and average percentage of statement coverage (APSC) values. The evaluation results prove that the proposed approach performs better in terms of both the parameters.

show abstract

An Improved History-Based Test Prioritization Technique Technique Using Code Coverage

Cited by 10 publications

References 20 publications

Comparative analysis of Test Case Prioritization Approaches in Regression Testing

Comparative analysis of Test Case Prioritization Approaches in Regression Testing

Performance Enhancement of Test Case Prioritization Using Hybrid Approach

Performance Analysis of Hybrid Approach Comprising Genetic Algorithm and Adaptive Approach on Test Case Prioritization

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