W. Frakes and C. Terry. Reuse level metrics. Technical Report TR 94-03, Virginia Polytechnic Institute and State University, 1991. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Analytical and Empirical Evaluation of Software Reuse.. - Devanbu, Karstu, Melo.. (1996) (2 citations) Self-citation (Metrics) (Correct)
....kinds of) reuse directly in the code; thus, it may be possible to find an indirect measure of the benefits of software (code) reuse directly in the code. Measures derivable directly from the code are internal measures. Several such measures of software reuse have been proposed in the literature [8, 14, 3, 10, 13]. This paper is concerned with the evaluation of how well various indirect, internal measures of software reuse actually measure the relevant external process attribute: reuse benefit. The rest of the paper is organized as follows. First, following the lead of Weyuker [17] in the field of ....
....reuse, i.e, the reuse of components that have been adapted somewhat; RSI is thus not consistent with Property 8 . 3. 2 Reuse Level models of Frakes and Terry Unlike the work described in the previous chapter, which is concerned exclusively with how much code is being reused, Frakes and Terry [8] focus on how code is being reused. Their reuse level and frequency measures are concerned with how frequently components are being used. They distinguish between internal and external reuse; total reuse is the sum of these two. In calculation of their reuse level and reuse frequency, Frakes and ....
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W. Frakes and C. Terry. Reuse level metrics. Technical Report TR 94-03, Virginia Polytechnic Institute and State University, 1991.
Analytical and Empirical Evaluation of Software Reuse Metrics - Prem Devanbu (1996) (2 citations) Self-citation (Metrics) (Correct)
....kinds of) reuse directly in the code; thus, it may be possible to find an indirect measure of the benefits of software (code) reuse directly in the code. Measures derivable directly from the code are internal measures. Several such measures of software reuse have been proposed in the literature [2, 4, 9, 11, 14]. This paper is concerned with the evaluation of how well various indirect, internal measures of software reuse actually measure the relevant external process attribute: reuse benefit. The rest of the paper is organized as follows. First, following the lead of Weyuker [16] in the field of ....
....with Property 8. Our case study suggests that there is a significant degree of benefit from re using partially modified components. 3. 2 Reuse Level Models Unlike the work described in the previous chapter, which is concerned exclusively with how much code is being reused, Frakes and Terry [9] focus on how code is being reused. Their reuse level and frequency measures are concerned with how frequently components are being used. They distinguish between internal and external reuse; total reuse is the sum of these two. In calculation of their reuse level and reuse frequency, Frakes and ....
[Article contains additional citation context not shown here]
W. Frakes and C. Terry. Reuse level metrics. Technical Report TR 94-03, Virginia Polytechnic Institute and State University, 1991.
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