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• W1539722230 abstract "Execution traces produced from instrumented code reflect a system's actual implementation. This information can be used to recover interaction patterns between different entities such as methods, files, or modules. Some solutions for the detection of patterns and their visualization exist, but are limited to small amounts of data and are incapable of comparing data from different versions of a large software system. In this paper, we propose a methodology to analyze and compare the execution traces of different versions of a software system to provide insights into its evolution. We recover high-level module views that facilitate the comprehension of each module's evolution. Our methodology allows us to track the evolution of particular modules and present the findings in three different kinds of visualizations. Based on these graphical representations, the evolution of the concerned modules can be tracked and comprehended much more effectively. Our EvoTrace approach uses standard database technology and instrumentation facilities of development tools, so exchanging data with other analysis tools is facilitated. Further, we show the applicability of our approach using the Mozilla open source system consisting of about 2 million lines of C/C++ code." @default.
• W1539722230 created "2016-06-24" @default.
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• W1539722230 date "2005-05-24" @default.
• W1539722230 modified "2023-09-23" @default.
• W1539722230 title "System Evolution Tracking through Execution Trace Analysis" @default.
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• W1539722230 doi "https://doi.org/10.1109/wpc.2005.35" @default.
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