DocumentCode :
909277
Title :
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
Link To Document :
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