.png){kind=icon}
.png){kind=icon}
Return
Pypen: Code instrumentation tool for dynamic analysis and energy efficiency evaluation
.png){kind=icon}
PRE
AI
DOI：10.1016/j.csi.2025.104000.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Given the large environmental impact that software can generate, the environmental sustainability of software is increasingly a major concern for developers today. Thus, it is important to provide them with the means and tools to understand the impact of their decisions on the energy consumption of software. To achieve this, more accurate information must be made available to better guide optimization efforts, in particular by identifying the specific sections of the software where the highest energy consumption occurs. This paper presents Pypen, a profiler that uses instrumentation to collect detailed execution data about the software execution. Through its integration with the ecosystem of tools of the technological component of the FEETINGS framework, Pypen is able to identify hot'' methods where the highest energy consumption occurs, allowing developers to focus on improving the energy efficiency of specific software sections. To evaluate and demonstrate the effectiveness of our tool, a sample study was conducted aimed at identifying areas of the software with higher energy consumption, providing opportunities to better focus improvement efforts.
Keywords:
Environmental sustainability
Software
Energy consumption
Optimization efforts
Profiler
Instrumentation
Journal
C
IF:
3.1
Papers:
2.3K
Citations:
2.0K
Organization
No organization information available