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we proposed a software defect predictive development models using machine learning techniques that can enable the software to continue its projected task.
Datasets of paper "Towards Assessing the Real-World Impact of Defects in Blockchain-based Smart Contracts" published on 1st International Workshop on Software Defect Datasets (SDD 2023)