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Predicting Risky Program Source Files

Authors:
Syed Nadeem Ahsan
Syed Haider Abbas Naqvi
Kamran Raza

Keywords: Software evolution; code metrics; risk estimation;

Abstract:
Change in source codes is an essential and routine activity of software development and maintenance. It has been observed that this activity might result in faults that might harm the use of the software. Therefore, it is always useful for software managers and programmers that before making any changes in source files, they should know the degree of risk associated with changing source files. In this paper, we present our approach to identify source files, which are risky or at least sensitive to new changes. We defined a set of metrics to compute the degree of risk associated to a source file. To validate our approach, an experiment has been performed by using Mozilla project’s data. The experimental results show that the source files having higher risk values are more risky when applying the next change and thus should be tested more thoroughly

Pages: 348 to 351

Copyright: Copyright (c) IARIA, 2012

Publication date: November 18, 2012

Published in: conference

ISSN: 2308-4235

ISBN: 978-1-61208-230-1

Location: Lisbon, Portugal

Dates: from November 18, 2012 to November 23, 2012