[Retracted] A Systematic Analysis of Regression Test Case Selection: A Multi-Criteria-Based Approach
Table 1
Basic terms and their explanation along with the respective purposes.
Terms
Explanation
Usage
Burst references
This term depicts the number of citations of a specific research document in a specific time. The higher the value of burst references, the higher the impact of that document.
It is used to show the concern level of research communities working in the same domain
Hotspots
It gives information about the number of times a specific research document is visited
It is useful in identifying references and the keywords that appeared in most of the research articles
Centrality
This term refers to the availability of the document either located in some center of the repository or some other location
This assists in finding the relevant research articles in the neighborhood of the visualization graph (or network)
Modularity
This term is related to the overall structure of the visualization network
This information is used to identify and extract the minimum set of the related articles in the network (i.e., clique in a graph)
Co-cited references
It represents the situation when two different research items were cited in a single document
It helps in finding the set of significant research articles along with the recent trends
Co-occurrence keywords
If two relevant keywords appear simultaneously in a single document
This information is helpful in identifying the significant and focused keywords
Silhouette value
This term depicts how much similar a research document is to its cluster neighbors
Its value is in [−1, 1] that refers to the degree of associativity of the research articles within a cluster
Mutual information (MI)
This refers to the information about the two different clusters
It is computed as the similarity measure of two or more clusters in a network