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. © 1984, ACM. All rights reserved.
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CITATION STYLE
APA
Basili, V. R., & Perricone, B. T. (1984). Software errors and complexity: An empirical investigation0. Communications of the ACM, 27(1), 42–52. https://doi.org/10.1145/69605.2085
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