Software errors and complexity: an empirical investigation0
Communications of the ACM
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
Characteristic program complexity measures
ICSE '84 Proceedings of the 7th international conference on Software engineering
Program complexity measure for software development management
ICSE '81 Proceedings of the 5th international conference on Software engineering
Experiments with computer software complexity and reliability
ICSE '82 Proceedings of the 6th international conference on Software engineering
M.H. Halstead's Software Science - a critical examination
ICSE '82 Proceedings of the 6th international conference on Software engineering
Recent advances in software measurement (abstract and references for talk)
ICSE '90 Proceedings of the 12th international conference on Software engineering
Quantifying requirements volatility effects
Science of Computer Programming
Obsolete software requirements
Information and Software Technology
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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.