Empirical laws and theories of information and software sciences

doi:10.1016/0306-4573(84)90036-0

Information Processing & Management

Volume 20, Issues 1–2, 1984, Pages 5-18

https://doi.org/10.1016/0306-4573(84)90036-0 Get rights and content

Abstract

Information science and software science are empirical sciences: their objects of study are informative texts and prescriptive texts, respectively. The main objective of this paper is to review the achievements of both these sciences in their search for empirical regularities and laws and in the development of theories to explain and account for these regularities.

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Empirical laws and theories of information and software sciences

Abstract

Foundations of the theory of signs

Int. Encyclopedia Unified Sci.

The Logic of Commands

Semantic aspects of information

Study Committee Research on the Theoretical Basis of Information: Collection of Papers

Fundamentals of Concept Formation in Empirical Science

Theory and Methods of Scaling

The problem of general quantitative laws in psychology

Psych. Bull.

Human Behavior and the Principle of Least Effort

Documentation

The frequency distribution of scientific productivity

J. Washington Acad. Sci.

Empirical hyperbolic distribution (Bradford-Zipf-Mandelbrot) for bibliometric description and prediction

J. Documentation

The derivation and application of the Bradford-Zipf distribution

J. Documentation

A theory of word-frequency distribution

Nature

Bradford's Law and the bibliography of science

Nature

The distribution of associated words

Psych. Record

Indexing consistency and quality

Am. Docum.

Characteristic profiles of developing information systems

Int. Forum Inform. Docum.

Journal usage versus age of journal

J. Documentation

The quantitative study of science: An examination of the literature

Sci. Studies