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As software systems become increasingly large and complex, the need increases to predict and control the effects of software changes. The authors' paper objective is to provide an impact analysis methodology that uses historical change record for executable and non executable files in a software system to identify and prioritize potentially affected area of a system modification based on risk. Software Change Impact Analysis captures the latest information on the science and art of determining what software parts affect each other. It provides ideas for doing impact analysis better, presents a framework for the field, and focuses attention on important results.
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