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Nonetheless, weighing constructs proved to be a promising way of increasing the effectiveness of bug localization techniques based on structured information retrieval.
It was previously demonstrated that bug localization based on structured information retrieval benefits from the usage of more program constructs (RQ2, Section 3.7).
Thus, contrary to our initial assumption, it is not needed to remove low-contributing constructs from bug localization models based on structured information retrieval.
One possible way of increasing effectiveness of bug localization based on structured information retrieval is to assign different weights to the parts in which source files are split (Saha et al. 2013).
Initially, we questioned whether current state-of-the-art bug localization techniques based on structured information retrieval, i.e., BLUiR, BLUiR+, and AmaLgam, would effectively locate bugs in C# projects.
Bug localization techniques based on structured information retrieval, such as BLUiR (Saha et al. 2013) and AmaLgam (Wang and Lo 2014), have shown considerable improvements over other traditional IR approaches (Section 2.2).
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In hot region prediction research, some models are based on structure information, and others are based on a protein interaction network.
Most related solving methods, such as GGL Groupp graphical lasso) and FMGL (Fused multiple graphical lasso), focus on the information of the edge values, and pay few attention to the estimation based on structure information.
Wie et al. [ 12] used a computational method called Theoretical Microscopic Titration Curves (THEMATICS), which computes theoretical electrostatic properties of residues based on structure information.
2) The tRNA genes were found by comparing the results predicted from the programs tRNAscan-se (Lowe and Eddy 1997), ARWEN (Laslett and Canback 2008), and DOGMA (Wyman et al. 2004) based on structure information.
Despite these limitations, we believe that our study, based on structured collection of information with a hospital based design combined with careful considerations of possible biases, represent findings of importance.
More suggestions(17)
based on structured quality
based on structured face
based on structured light
based on known information
based on structured discipleship
based on structured methodology
based on structured illumination
based on unverified information
based on structured history
based on structured quasi-LPV
based on structured self-report
based on structured graph
based on structured packing
based on structured group
based on structured questionnaire
based on structured retrieval
based on structured matrix
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