Diversity-based test case prioritization technique to improve faults detection rate
Regression testing is an important task in software development, but it is often associated with high costs and increased project expenses. To address this challenge, prioritizing test cases during test execution is essential as it aims to swiftly identify the hidden faults in the software. In t...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
SAI Organization
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/107377/ https://thesai.org/Publications/ViewPaper?Volume=14&Issue=6&Code=IJACSA&SerialNo=98 |
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| Institution: | Universiti Putra Malaysia |
| Summary: | Regression testing is an important task in software
development, but it is often associated with high costs and
increased project expenses. To address this challenge,
prioritizing test cases during test execution is essential as it aims
to swiftly identify the hidden faults in the software. In the
literature, several techniques for test case prioritization (TCP)
have been proposed and evaluated. However, existing weightbased TCP techniques often overlook the true diversity coverage
of test cases, resulting in the use of average-based weighting
practices and a lack of systematic calculation for test case
weights. Our research revolves around prioritizing test cases by
considering multiple code coverage criteria. The study presents a
novel diversity technique that calculates a diversity coverage
score for each test case. This score serves as a weight to
effectively rank the test cases. To evaluate the proposed
technique, an experiment was conducted using five open-source
programs and measured its performance in terms of the average
percentage of fault detection (APFD). A comparison was made
against an existing technique. The results revealed that the
proposed technique significantly improved the fault detection
rate compared to the existing approach. It is worth noting that
this study is the first of its kind to incorporate the true diversity
score of test cases into the TCP process. The findings of our
research make valuable contributions to the field of regression
testing by enhancing the effectiveness of the testing process
through the utilization of diversity-based weighting techniques. |
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