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Software visualization is an efficient and flexible tool to inspect and analyze software data at various levels of detail. However, software analysts typically do not have a sufficient background in visualization and cognitive science to select efficient representations and parameters without the help of visualization experts. To overcome this problem, we propose an approach to generate software analysis...
Design anomalies, introduced during software evolution, are frequent causes of low maintainability and low flexibility to future changes. Because of the required knowledge, an important subset of design anomalies is difficult to detect automatically, and therefore, the code of anomaly candidates must be inspected manually to validate them. However, this task is time- and resource-consuming. We propose...
In this challenge report, we will see how to use VERSO in order to analyse Azureus. We answer the challenge through two separate main goals which represent two possible tasks available in VERSO. The first task is design anomaly detection and the second task is evolution analysis.
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