Software errors and complexity: an empirical investigation0

Author:

Basili Victor R.1,Perricone Barry T.1

Affiliation:

1. Univ. of Maryland, College Park, MD

Abstract

An analysis of the distributions and relationships derived from the change data collected during development of a medium-scale software project produces some surprising insights into the factors influencing software development. Among these are the tradeoffs between modifying an existing module as opposed to creating a new one, and the relationship between module size and error proneness.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference8 articles.

1. Programming measurement and estimation in the software engineering laboratory

2. Basili V. and Weiss D. Evaluating software development by analysis of changes: The data from the Software Engineering Laboratory. University of Maryland Tech. Rep TR-1236 Dec. 1982.]] Basili V. and Weiss D. Evaluating software development by analysis of changes: The data from the Software Engineering Laboratory. University of Maryland Tech. Rep TR-1236 Dec. 1982.]]

3. A model of large program development

4. An analysis of errors and their causes in system programs

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