Title :
Predicting Fault-Prone Modules Using the Length of Identifiers
Author :
Kawamoto, Kimiaki ; Mizuno, Osamu
Author_Institution :
Grad. Sch. of Sci. & Technol., Kyoto Inst. of Technol., Kyoto, Japan
Abstract :
Identifiers such as variable names and function names in source code are essential information to understand code. The naming for identifiers affects on code understandability, thus, we expect that they affect on software quality. In this study, we examine the relationship between the length of identifiers and existence of software faults in a software module. The results of experiment using the random forest technique show that there is a positive relationship between the length of identifier and existence of software faults.
Keywords :
random processes; software fault tolerance; software quality; source coding; code understandability; fault prone module prediction; identifier length; random forest technique; software fault; software module; software quality; source code; Accuracy; Computer bugs; Length measurement; Predictive models; Software algorithms; Software quality; Fault-prone module; Identifiers; Random forest; Repositories Mining;
Conference_Titel :
Empirical Software Engineering in Practice (IWESEP), 2012 Fourth International Workshop on
Conference_Location :
Osaka
Print_ISBN :
978-1-4673-4366-4
DOI :
10.1109/IWESEP.2012.15
