一句话：提出基于输入-输出表聚类与投票计数的方法，以缓解软件工程元分析中的度量多样性问题。
本文研究软件工程元分析中的度量多样性问题：当研究者测量同一现象却采用不同且通常不可比的度量时，直接分析效应及其大小变得困难。作者提出通过输入-输出表对研究进行聚类，并结合投票计数来综合不同度量下的研究结果。该方法旨在缓解度量不可比带来的障碍，使元分析能够纳入更多研究。论文还讨论了将该方法应用于软件复用效应案例，以展示其使用方式。摘要未报告定量评估结果，因此其验证主要是案例应用与讨论。
This work addresses the problem of metric diversity in meta-analysis for Software Engineering by clustering studies using input-output tables and by vote-counting. Diversity arises when researchers, measuring same phenomena, use different, and typically "incomparable" metrics making impossible a direct analysis of the effects and their sizes. Additionally, this work discusses an application of proposed approach to the case of Software Reuse.
DOI 原文 ·
@inproceedings{paperbot6467,
title = {Overcoming metric diversity in meta-analysis for software engineering: proposed approach and a case study on its usage on the effects of software reuse},
author = {Kirill Daniakin},
booktitle = {FSE},
year = {2021},
doi = {10.1145/3468264.3473488}
}