Abstract
To evaluate software quality objectively and accurately is an important subject. Drawing ideas from analytic hierarchy process and fuzzy comprehensive evaluation algorithm, this paper gives a quantitative assessment method based on hierarchic software trustworthy model. The method makes uses of knowledge discovery in database techniques to obtain the weights of all software trustworthy factors, exploits software testing results to obtain software assessing data, and accomplishes finally quantitative assessment through a simple data fitting techniques. Practice has proved that it can effectively reduce the subjectivity of software evaluation process and so significantly improve the accuracy of assessment result.
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© 2012 Springer-Verlag Berlin Heidelberg
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Zhang, W., Liu, W., Du, H. (2012). A Software Quantitative Assessment Method Based on Software Testing. In: Huang, DS., Ma, J., Jo, KH., Gromiha, M.M. (eds) Intelligent Computing Theories and Applications. ICIC 2012. Lecture Notes in Computer Science(), vol 7390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31576-3_39
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DOI: https://doi.org/10.1007/978-3-642-31576-3_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31575-6
Online ISBN: 978-3-642-31576-3
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