English(EN) Static Metrics Are Insufficient: Predicting Java Method Energy Usage with Execution Time

利用执行时间改进Java方法能耗预测

作者 PulseAugur 编辑部 · [2 个来源] · 2026-07-07 10:35

arXiv上发表的一项新研究探讨了Java方法能耗的预测。研究人员发现，仅靠静态代码指标是能耗的糟糕预测因子，R2值接近于零。然而，将方法执行时间作为动态输入显著提高了准确性，R2值高达0.46。研究确定执行时间、内部方法调用和圈复杂度是预测能耗最有影响力的因素。 AI

影响这项研究通过早期检测高能耗代码，可能带来更节能的软件开发实践。

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报道来源 [2]

arXiv cs.AI TIER_1 English(EN) · Muhammad Imran, Vincenzo Stoico, Ivano Malavolta · 2026-07-08 04:00

静态指标不足：通过执行时间预测 Java 方法能耗

arXiv:2607.06124v1 Announce Type: cross Abstract: The increasing energy demand of software systems is raising concerns about their environmental impact and associated costs. Reasoning on energy usage early in the development flow has the potential to significantly reduce the over…
arXiv cs.AI TIER_1 English(EN) · Ivano Malavolta · 2026-07-07 10:35

静态指标不足以预测：基于执行时间的Java方法能耗预测

The increasing energy demand of software systems is raising concerns about their environmental impact and associated costs. Reasoning on energy usage early in the development flow has the potential to significantly reduce the overall energy usage of a software system, as it allow…