Software evolution involves different categories of interventions, having variable impact on the code. Knowledge about the expected impact of an intervention is fundamental for project planning and resource allocation. Moreover, deviations from the expected impact may hint for areas of the system having a poor design. In this paper, we investigate the relationship between evolution categories and impacted code by means of a set of metrics computed over time for a subject system.
Measuring the Impact of Different Categories of Software Evolution
Longo, Francesca;Tiella, Roberto;Tonella, Paolo;Villafiorita Monteleone, Adolfo
2008-01-01
Abstract
Software evolution involves different categories of interventions, having variable impact on the code. Knowledge about the expected impact of an intervention is fundamental for project planning and resource allocation. Moreover, deviations from the expected impact may hint for areas of the system having a poor design. In this paper, we investigate the relationship between evolution categories and impacted code by means of a set of metrics computed over time for a subject system.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
