Experimental models for validating technology
Discoveries in the 18th and 19th centuries included Antoine Lavoisier's use of a guinea pig in a calorimeter to prove that respiration was a form of combustion, and Louis Pasteur's demonstration of the germ theory of disease in the 1880s using anthrax in sheep.
Research using animal models has been central to most of the achievements of modern medicine. melanogaster remains one of the most widely used eukaryotic model organisms.
The model could then help researchers predict which circumstances lead groups to choose one approach over the other.
The researchers can then devise additional experiments to determine whether the model is correct.
For example, experiments may find that groups take two different approaches to solving a given problem.
The basic conclusion is that the situation is improving.
One earlier complaint that access to data repositories was difficult is becoming less prevalent and the percentage of papers including validation is increasing. Zelkowitz is a research professor of Computer Science at the University of Maryland in College Park Maryland. Zelkowitz received the MS and Ph D degrees from Cornell University in Computer Science in 19, respectively and the BS in mathematics from Rensselaer Polytechnic Institute in 1967.
In this paper we discuss the methods generally employed to validate an experiment and propose a taxonomy consisting of 12 techniques that can be used to show that a new technology achieves its hypothesized goals.
An evaluation of over 600 papers published from 1985 through 1995 shows that the 12 methods can be effectively applied to research papers, and we provide some observations of how well the research community validates its claims in these papers.