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05/22/2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness
There has been an increasing interest in enhancing the fairness of machi...
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02/01/2023
Toward a consistent performance evaluation for defect prediction models
In defect prediction community, many defect prediction models have been ...
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04/19/2022
Test suite effectiveness metric evaluation: what do we know and what should we do?
Comparing test suite effectiveness metrics has always been a research ho...
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03/07/2021
Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models
The boom of DL technology leads to massive DL models built and shared, w...
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02/05/2021
Mutant reduction evaluation: what is there and what is missing?
Background. Many mutation reduction strategies, which aim to reduce the ...
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01/27/2021
An extensive empirical study of inconsistent labels in multi-version-project defect data sets
The label quality of defect data sets has a direct influence on the reli...
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06/18/2020
Prioritizing documentation effort: Can we do better?
Code documentations are essential for software quality assurance, but du...
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10/29/2019
MAT: A simple yet strong baseline for identifying self-admitted technical debt
In the process of software evolution, developers often sacrifice the lon...
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12/28/2017