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1. Test Compaction by Test Removal Under Transparent Scan

   https://doi.org/10.1109/TVLSI.2018.2878067  

   Pomeranz, Irith (February 2019, IEEE Transactions on Very Large Scale Integration (VLSI) Systems)
2. Trace Test

   https://doi.org/10.1007/s40598-018-0084-3  

   Leykin, Anton; Rodriguez, Jose Israel; Sottile, Frank (April 2018, Arnold Mathematical Journal)
3. Test Methodologies and Test-Time Compression for Emerging Non-Volatile Memory

   https://doi.org/10.1109/TR.2019.2919466  

   Khan, Mohammad Nasim; Ghosh, Swaroop (November 2019, IEEE Transactions on Reliability)
4. Storage-Based Logic Built-In Self-Test with Variable-Length Test Data

   https://doi.org/10.1109/DFT56152.2022.9962357  

   Pomeranz, Irith (October 2022, IEEE)
5. Do Pseudo Test Suites Lead to Inflated Correlation in Measuring Test Effectiveness?

   https://doi.org/10.1109/ICST.2019.00033  

   Zhang, Jie M.; Zhang, Lingming; Hao, Dan; Wang, Meng; Zhang, Lu (April 2019, IEEE Conference on Software Testing, Validation and Verification (ICST))

   Code coverage is the most widely adopted criteria for measuring test effectiveness in software quality assurance. The performance of coverage criteria (in indicating test suites' effectiveness) has been widely studied in prior work. Most of the studies use randomly constructed pseudo test suites to facilitate data collection for correlation analysis, yet no previous work has systematically studied whether pseudo test suites would lead to inflated correlation results. This paper focuses on the potentially wide-spread threat with a study over 123 real-world Java projects. Following the typical experimental process of studying coverage criteria, we investigate the correlation between statement/assertion coverage and mutation score using both pseudo and original test suites. Except for direct correlation analysis, we control the number of assertions and the test suite size to conduct partial correlation analysis. The results reveal that 1) the correlation (between coverage criteria and mutation score) derived from pseudo test suites is much higher than from original test suites (from 0.21 to 0.39 higher in Kendall value); 2) contrary to previously reported, statement coverage has a stronger correlation with mutation score than assertion coverage. 

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