  Technical debt is often the result of Short Run decisions made during code
development, which can lead to long-term maintenance costs and risks. Hence,
evaluating the progression of a project and understanding related code quality
aspects is essential.
  Fortunately, the prioritization process for addressing technical debt can be
expedited with code analysis tools like the established SonarQube.
Unfortunately, we experienced some limitations with this tool and have had some
requirements from the industry that were not yet addressed.
  Through this experience report and the analysis of scientific papers, this
work contributes: (1) a reassessment of technical debt within the industry, (2)
considers the benefits of employing SonarQube as well as its limitations when
evaluating and prioritizing technical debt, (3) introduces a novel tool named
SoHist which addresses these limitations and offers additional features for the
assessment and prioritization of technical debt, and (4) exemplifies the usage
of this tool in two industrial settings in the ITEA3 SmartDelta project.
