Sentence examples for prioritization problems from inspiring English sources

This paper presents a systematic review and mapping that investigated, analyzed, categorized and classified the SBSE approaches that have been proposed to address software requirement selection and prioritization problems, reporting quantitative and qualitative assessment.

The results of this systematic review show which aspects of the requirements selection and prioritization problems were addressed by researchers, which approaches and search techniques are currently adopted to address these problems, as well as the strengths and weaknesses in this research area highlighted from the quality criteria.

Kernelized score functions presented in the previous section can be interpreted as a generalization of the random walk algorithms, which have been successfully applied to gene prioritization problems [19,60].

In the context of gene prioritization problems, we can assess the likelihood that a given gene belongs to a given MeSH category M on the basis of the M-labeled genes directly connected to the gene under study.

The methods proposed in Section  2.4.2 (unweighted integration) and in Section  2.4.3 (weighted integration) share several general characteristics with previously proposed methods applied in gene prioritization problems or in other computational biology problems such as gene function prediction [46 49].

To this end we programmatically considered relatively simple methods, ranging from unweighted to weighted network integration algorithms, excluding more complex algorithms proposed in the literature, to allows us to perform an extensive analysis involving a large set of diseases, a large set of human genes and a significant subset of the integration methods applied to gene prioritization problems.

The maximum decision rule from the Game Theory is used to solve the fuzzy prioritization problem.

The test case prioritization problem and similarity testing are discussed in Section 2.6.

At last, the test case prioritization problem and the specificities of the similarity testing are detailed.

The maximum prioritization problem (5) is extended as follows: Maximize λ Open image in new window (6).

In the current practice, a sequential model for overcoming this prioritization problem has not been studied in the related literature.