Title :
A probability model for analysing complexity metrics data
Author :
Mayer, Alan ; Sykes, Alan
Author_Institution :
Dept. of Manage. Sci. & Stat., Univ. Coll. of Swansea, UK
fDate :
9/1/1989 12:00:00 AM
Abstract :
Previous work on the relationship between the McCabe complexity metric and lines of code fails to recognise that such data are discrete. A discrete probability model is proposed which enables outliers to be detected, and offers information about parameters meaningful to the software engineer
Keywords :
probability; software engineering; McCabe complexity metric; complexity metrics data; decision codes; lines of code; outliers; probability model; software engineer;
Journal_Title :
Software Engineering Journal
