There is no Random Sampling in Software Engineering Research

被引：15

作者：

Amir, Bilal ^{[1
]}

Ralph, Paul ^{[2
]}

机构：

[1] Sur Univ Coll, Sur, Oman

[2] Univ Auckland, Auckland, New Zealand

来源：

PROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING - COMPANION (ICSE-COMPANION | 2018年

关键词：

Research methodology; sampling; random sampling; purposive sampling;

D O I：

10.1145/3183440.3195001

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Representative sampling is considered crucial for predominately quantitative, positivist research. Researchers typically argue that a sample is representative when items are selected randomly from a population. However, random sampling is rare in empirical software engineering research because there are no credible sampling frames (population lists) for the units of analysis software engineering researchers study (e.g. software projects, code libraries, developers, projects). This means that most software engineering research does not support statistical generalization, but rejecting any particular study for lack of random sampling is capricious.

引用

页码：344 / 345

页数：2

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