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Java method energy usage prediction improved with execution time

By PulseAugur Editorial · [2 sources] ·

A new study published on arXiv explores the prediction of energy consumption for Java methods. Researchers found that static code metrics alone are poor predictors of energy usage, yielding R2 values close to zero. However, incorporating method execution time as a dynamic input significantly improved accuracy, achieving R2 values up to 0.46. The study identified execution time, internal method calls, and cyclomatic complexity as the most influential factors in predicting energy consumption. AI

IMPACT This research could lead to more energy-efficient software development practices by enabling early detection of energy-intensive code.

RANK_REASON The cluster contains an academic paper detailing a research study.

Read on arXiv cs.AI →

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Java method energy usage prediction improved with execution time

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Muhammad Imran, Vincenzo Stoico, Ivano Malavolta ·

    Static Metrics Are Insufficient: Predicting Java Method Energy Usage with Execution Time

    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…

  2. arXiv cs.AI TIER_1 English(EN) · Ivano Malavolta ·

    Static Metrics Are Insufficient: Predicting Java Method Energy Usage with Execution Time

    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…

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