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Quant offers a wide range of solutions for retail. Within one integrated software system, it allows you to efficiently combine the management of retail space, shelf labels and marketing materials with task management, reporting and automatic replenishment.
This is a tool for concern mining which uses a KDM model as input and the output is the same model with annotated concerns. It uses a Concern Library and a modified String Clustering K-means algorithm with Levenshtein metric to cluster the strings.
GMetrics provides calculation and reporting of size and complexity metrics for Groovy sourcecode.
This project has moved to GitHub:
https://github.com/dx42/gmetrics
The GroovyStAr ("Groovy Static Analyzer") project describes a new extensible SCA tool for Java and Groovy. The extensibility is reached through a customizable set of Groovy-scripts, each representing a static sourcecode query against the created AST.