An Efficient Method for Testing Source Code by Test Case Reduction, Prioritization, and Prioritized Parallelization

Udupa, Pradeep; Nithyanandam, S.; Begum, A. Rijuvana

doi:10.1007/978-981-13-8618-3_53

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…The efficiency of both techniques was measured using the following Equation ( 7): x 100 (7) where |Time| is the time taken to apply all test cases, while refers to the time taken by the random technique and the MFWA to detect faults. Equation ( 7) is widely used in current reduction techniques [19], [23], [24]. However, this study had only applied this equation to measure the efficiency of each technique in detecting faults.…”

Section: Experiments and Analysismentioning

confidence: 99%

Measuring the Efficiency of MFWA Technique for Prioritizing Event Sequences Test Cases

Ahmad¹

2019

IJATCSE

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The software development phase would frequently go through several changes and modifications. These are challenges that the tester of a system needs to face to ensure that the quality of the system aligns with the budget, resources, and time to deliver. Numerous techniques have been proposed to solve these problems and one of them is the test case prioritization (TCP) technique. The TCP technique is widely used for single event test cases. Thus, this paper would like to propose the Multifactor Weightage Approach (MFWA) using combinations of six factors to prioritize event sequence test cases. The percentage of test effort efficiency was used to measure the efficiency of the comparison technique. The results showed that the MFWA was more efficient compared to the random technique in terms of detecting faults earlier.

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Section: Experiments and Analysismentioning

confidence: 99%

Measuring the Efficiency of MFWA Technique for Prioritizing Event Sequences Test Cases

Ahmad¹

2019

IJATCSE

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Code Coverage Similarity Measurement Using Machine Learning for Test Cases Minimization

Saputra

Katayama

2020

2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)

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An Efficient Method for Testing Source Code by Test Case Reduction, Prioritization, and Prioritized Parallelization

Cited by 2 publications

References 7 publications

Measuring the Efficiency of MFWA Technique for Prioritizing Event Sequences Test Cases

Measuring the Efficiency of MFWA Technique for Prioritizing Event Sequences Test Cases

Code Coverage Similarity Measurement Using Machine Learning for Test Cases Minimization

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