Zelkowitz, M.
and Wallace, D.
(1997),
Experimental Validation in Software Engineering, Information and Software Technology
(Accessed May 1, 2025)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Experimental Validation in Software Engineering
Published
Author(s)
,
Abstract
Although experimentation is an accepted approach toward scientific validation in most scientific disciplines, it only recently has gained acceptance within the software development community. In this paper we discuss a 12-model classification scheme for performing experimentation within the software development domain. We evaluate over 600 published papers in the computer science literature and over one hundred papers from other scientific disciplines in order to determine: (1) how well the computer science community is succeeding at validating its theories, and (2) how computer science compares to other scientific disciplines.Citation
Information and Software Technology
Volume
39
Pub Type
Journals
Keywords
Data collection, evaluation, experimentation, measurement
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created March 24, 1997, Updated February 17, 2017