胆小鬼
发表于 2025-3-27 00:40:46
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调整
发表于 2025-3-27 03:43:47
David W. K. Yeung,Leon A. Petrosyanith BLEU scores over 50% lower, while ROUGE and METEOR scores are over 30% lower on cross-project test sets. Current models may rely more on project-specific than generic code features to understand code. We link this to the model’s performance on different code channels. It is suggested that the mo
不能妥协
发表于 2025-3-27 07:26:23
David W. K. Yeung,Leon A. Petrosyann 2011 and 2017 that perform static analysis of mobile applications and we propose a method for evaluating the reusability of the associated tools. We extensively evaluate the success or failure of these tools on a dataset containing Android applications that can have up to six years of distance fro
运动性
发表于 2025-3-27 13:16:20
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esthetician
发表于 2025-3-27 14:03:32
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废墟
发表于 2025-3-27 20:26:07
David W. K. Yeung,Leon A. Petrosyano reuse the qualified software in an efficient way. This contribution aims to upgrade research on dynamic services consumption and orchestration to the level of end-users’ requirements mapped with advanced service assets as an enabler for accelerating business application development.
肥料
发表于 2025-3-27 23:53:49
David W. K. Yeung,Leon A. Petrosyanr, the Correlation-based-Feature Selection (CFS) algorithm is combined with the Support Vector Regression (SVR) model. The dataset used for training and testing the prediction model is obtained from the International Software Benchmarking Standards Group (ISBSG) Release 12. To make comparisons betwe
神圣在玷污
发表于 2025-3-28 02:19:31
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Vo2-Max
发表于 2025-3-28 09:12:10
David W. K. Yeung,Leon A. Petrosyan. We aim at guiding the search process towards the best trade-off three objectives to be optimized (.) maximize libraries historical co-usage, (.) maximize libraries functional diversity, and (.) maximize libraries reuse from highly rated apps. We conduct an empirical experiment to evaluate our appr
Clumsy
发表于 2025-3-28 11:53:59
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