jStanley: Placing a Green Thumb on Java Collections

Rui Pereira, Pedro Simão, Jácome Cunha, J. Saraiva
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引用次数: 24

Abstract

Software developers are more and more eager to understand their code's energy performance. However, even with such knowledge it is difficult to know how to improve the code. Indeed, little tool support exists to understand the energy consumption profile of a software system and to eventually (automatically) improve its code. In this paper we present a tool termed jStanley which automatically finds collections in Java programs that can be replaced by others with a positive impact on the energy consumption as well as on the execution time. In seconds, developers obtain information about energy-eager collection usage. jStanley will further suggest alternative collections to improve the code, making it use less time, energy, or a combination of both. The preliminary evaluation we ran using jStanley shows energy gains between 2% and 17%, and a reduction in execution time between 2% and 13%. A video can be seen at https://greensoftwarelab.github.io/jStanley.
jStanley:在Java集合上大展身手
软件开发人员越来越渴望了解他们的代码的能源性能。然而,即使有了这些知识,也很难知道如何改进代码。实际上,很少有工具支持理解软件系统的能源消耗概况,并最终(自动)改进其代码。在本文中,我们介绍了一个名为jStanley的工具,它可以自动查找Java程序中的集合,这些集合可以被其他集合替换,从而对能耗和执行时间产生积极影响。在几秒钟内,开发人员就能获得有关耗能的收集设备使用情况的信息。jStanley将进一步建议其他集合来改进代码,使其使用更少的时间和精力,或者两者兼而有。我们使用jStanley进行的初步评估显示,能耗增加了2%到17%,执行时间减少了2%到13%。视频可以在https://greensoftwarelab.github.io/jStanley上看到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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