An empirical study of a model for program error prediction

Author

Takahashi, Muneo ; Kamayachi, Yuji

Author_Institution

Electr. Commun. Labs., NTT Corp., Tokyo, Japan

Volume

15

Issue

1

fYear

1989

fDate

1/1/1989 12:00:00 AM

Firstpage

82

Lastpage

86

Abstract

A model is presented for estimating the number of errors remaining in a program at the beginning of the testing phase of development. The relationships between the errors occurring in a program and the various factors that affect software development, such as programmer skill, are statistically analyzed. The model is then derived using the factors significantly identified in the analysis. On the basis of data collected during the development of large-scale software systems, it is shown that factors such as frequency of program specification change, programmer skill, and volume of program design documentation are significant and that the model based on these factors is more reliable than conventional error prediction methods based on program size alone

Keywords

program testing; software engineering; large-scale software systems; program design documentation; program error prediction; program specification change; programmer skill; software development; testing phase; Communication system control; Data analysis; Environmental factors; Error correction; Large-scale systems; Predictive models; Programming; Software quality; Software systems; Testing;

fLanguage

English

Journal_Title

Software Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0098-5589

Type

jour

DOI

10.1109/32.21729

Filename

21729