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Table 3: QoS-based Multicast Routing Algorithms Comparisons[ CHEN99]
"... In PAGE 16: ... The proposed algorithms can be divided into two types: source routing and distributed (hop-by-hop) routing. Table3 summarizes and compares the performance of many QoS-based multicast routing algorithms. Table 3: QoS-based Multicast Routing Algorithms Comparisons[ CHEN99] ... ..."
TABLE 4. UPPER BOUNDS ON P(Lm 2 t): CHEN-STEW VERSUS FQRST ORDER
1996
Cited by 19
Table 1.1: Summary of the results for the unit processing time, single machine , bicriteria problem ( Chen and Bulfin[8] )
1997
TABLE 1 Scientists Participating as Classroom Members (Adapted from Chen amp; Crawford, 1998)
Table 7. Correlation coefficients of satellite data and modelled reflectance data. Channel Chen Data (r) Kucharik Data (r)
in Estimation of Leaf Area Index in Southern Sweden with Optical Modelling and a Landsat 7 ETM+Scene
Table 1: Parameters sets for the Quantum Sutton-Chen many-body potential for fcc transition metals.
in (+1,$/5(3257
"... In PAGE 4: ...2 Shear viscosity of metals and alloys Using Nonequilibrium molecular dynamics (NEMD) methods, we calculated the shear viscosity of Cu-Au alloys subjected to a planar Couette shear ow. We used the parameters given in Table1 above. These parameters are shown to give accurate values for surface energies, vacancies energies, and stacking faults.... ..."
Table 3.14: Regularized frequency estimation techniques. Collected from (Chen and Goodman 1996).
Table 1: Operation complexity value (from Chen and Lu[CL93])
"... In PAGE 12: ... Operation complexity (OpCom) of a class. The de nition for opera- tion complexity is: X O(i) where O(i) is operation i apos;s complex value, and is evaluated from Table1 . 10 Summing up the O(i) in for each operation i in the class gives this metric value.... In PAGE 15: ...Figure 2: Class with low cohesion In [HS96], Henderson-Sellers explicitly cites Table1 and argues that \met- rics with subjective weightings in which not only are Likert scales used, but the mapping from that scale to a numerical scale is itself fuzzy, have no scienti c validity, and should be avoided if at all possible quot;. A very similar criticism of subjective ratings is given by Brito e Abreu in [BeA92], where it is argued that \subjectivity makes metrics comparisons throughout software industry an impossible mission quot;.... In PAGE 33: ...E2 E3 E4 E5 E6 E7 E8 E9 E1 0 E1 1 E1 2 R1 R2 R3 R4 R5 R6 R7 R8 R9 R1 0 R1 1 R1 2 R1 3 R1 4 R1 5 R1 6 R1 7 MVS * * IC * * * * MDS * * WMC * * DIT * * NOC * * * CBO * * * RFC * * * LCOM * * * MPC * * * DAC * * NOM * * SIZE2 * * IL * * * * * * IS * * * * CLC * * * * * * * * * OLC * * * * * * * * CDBC * * * * LD * * * * * * NCL * aac * * acc * * amd/amb * * * * olv * * * * oim * * * o /ofo * * mip * * m * * mfo * * mp * * * mfd * * * U * * * S * * * NPM * * NOV * * MHF * * * * * AHF * * * * * MIF * * * AIF * * * POF * * * * COF * * OpCpl * * * CH * * * * * * ClCpl * * Coh * * * * count 40 24 2 1 7 3 3 3 2 3 1 1 12 1 4 3 1 6 4 8 1 2 3 3 1 2 2 2 2 Table1 0: Data Model Elements Used by Each Metric... ..."
Table 2: Argument/attribute value (from Chen and Lu[CL93])
TABLE I: Parameters controlling the optimal paths on networks for various distributions of disorder (After [Chen et. al, 2006] )
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