用英文告诉我软件缺陷预测领域SDP国内外研究现状。最后给我翻译一下

Currently, both domestic and international research in the field of Software Defect Prediction (SDP) is focused on developing accurate and efficient prediction models. International studies have explored various machine learning techniques and feature selection methods, such as Random Forest and Genetic Algorithms, to improve SDP performance. Meanwhile, domestic research has also made strides in this area, with studies utilizing artificial neural networks and support vector machines to predict software defects. Overall, the SDP field is continually evolving and expanding, with researchers striving to improve software quality and reduce development costs.

目前，软件缺陷预测领域（SDP）在国内外都致力于开发准确高效的预测模型。国际研究探索了各种机器学习技术和特征选择方法，如随机森林和遗传算法，以提高SDP性能。与此同时，国内研究也在这方面取得了进展，研究利用人工神经网络和支持向量机预测软件缺陷。总体而言，SDP领域不断发展壮大，研究人员致力于提高软件质量和降低开发成本。