Analyzing Software Engineering Experiments: Everything You Always Wanted to Know but Were Afraid to Ask

被引：1

作者：

Juristo, Natalia ^{[1
,2
]}

Vegas, Sira ^{[1
]}

机构：

[1] Univ Politecn Madrid, Escuela Tecn Super Ingn Informat, Madrid, Spain

[2] Univ Oulu, Dept Informat Proc Sci, M Grp, Oulu, Finland

来源：

2016 IEEE/ACM 38TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING COMPANION (ICSE-C) | 2016年

关键词：

Software Engineering experimentation; controlled experiments; analysis of experiments;

D O I：

10.1145/2889160.2891054

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Experimentation is a key issue in science and engineering. But it is one of software engineering's stumbling blocks. Quite a lot of experiments are run nowadays, but it is a risky business. Software engineering has some special features, leading to some experimentation issues being conceived of differently than in other disciplines. The aim of this technical briefing is to help participants to avoid common pitfalls when analyzing the results of software engineering experiments. The technical briefing is not intended as a data analysis course, because there is already plenty of literature on this subject. It reviews several issues that we have identified in published SE experiments.

引用

页码：900 / 901

页数：2