Software Development Analysis for Energy Efficiency Using Process Metrics

被引：0

作者：

Kruglov, A. ^{[1
]}

Atonge, D. ^{[1
]}

Strugar, D. ^{[1
]}

Succi, G. ^{[1
]}

Ergasheva, S. ^{[1
]}

Vasquez, X. ^{[1
]}

机构：

[1] Innopolis Univ, Univ Skaya St 1, Innopolis 420500, Russia

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN SIGNAL PROCESSING AND ARTIFICIAL INTELLIGENCE, ASPAI' 2020 | 2020年

基金：

俄罗斯科学基金会;

关键词：

Non-invasive measurement; Granular computation; Energy efficiency; Software development; Process metrics;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The InnoMetrics project aims at building and validating a quantitative framework to assess and guide the software development teams using process metrics collected non-invasively throughout the life-cycle of software systems, from the initial concept to the deployment, execution, and maintenance taking into consideration energy concerns, which play a pivotal role in the success of applications and infrastructures. In this paper, we report the early experience we have in its development together with the data of developers' activities that we have obtained so far, including running processes and applications, user actions in browser or IDE and associated energy consumption.

引用

页码：181 / 187

页数：7

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