Title :
Assessing the effect of clones on changeability
Author :
Lozano, Angela ; Wermelinger, Michel
Author_Institution :
Comput. Dept., Open Univ., Milton Keynes
fDate :
Sept. 28 2008-Oct. 4 2008
Abstract :
To prioritize software maintenance activities, it is important to identify which programming flaws impact most on an applicationpsilas evolution. Recent empirical studies on such a flaw, code clones, have focused on one of the arguments to consider clones harmful, namely, that related clones are not updated consistently. We believe that a wider notion is needed to assess the effect of cloning on evolution. This paper compares measures of the maintenance effort on methods with clones against those without. Statistical and graphical analysis suggests that having a clone may increase the maintenance effort of changing a method. The effort seems to increase depending on the percentage of the system affected whenever the methods that share the clone are modified. We also found that some methods seem to increase significantly their maintenance effort when a clone was present. However, the characteristics analyzed in these methods did not reveal any systematic relation between cloning and such maintenance effort increase.
Keywords :
graph theory; software maintenance; statistical analysis; changeability; code clones; graphical analysis; programming flaws; software maintenance; statistical analysis; Cloning; Computer bugs; Context awareness; Functional programming; Genetic programming; Investments; Performance analysis; Software maintenance; Testing;
Conference_Titel :
Software Maintenance, 2008. ICSM 2008. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2613-3
Electronic_ISBN :
1063-6773
DOI :
10.1109/ICSM.2008.4658071