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- W2795181345 abstract "Program comprehension is a necessary step for performing many software engineering tasks. Dynamic analysis is effective in producing execution traces that assist comprehension. Traces are rich sources of information regarding the behaviour of a program. However, it is challenging to gain insight from traces due to their overwhelming amount of data and complexity. We propose a generic technique for facilitating comprehension by inferring recurring execution motifs. Inspired by bioinformatics, motifs are patterns in traces that are flexible to small changes in execution, and are captured in a hierarchical model. The hierarchical nature of the model provides an overview of the behaviour at a high-level, while preserving the execution details and intermediate levels in a structured manner. We design a visualization that allows developers to observe and interact with the model. We implement our approach in an open-source tool, called Sabalan, and evaluate it through a user experiment. The results show that using Sabalan improves developers' accuracy in performing comprehension tasks by 54%." @default.
- W2795181345 created "2018-04-06" @default.
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- W2795181345 date "2018-05-27" @default.
- W2795181345 modified "2023-09-27" @default.
- W2795181345 title "Inferring hierarchical motifs from execution traces" @default.
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- W2795181345 doi "https://doi.org/10.1145/3180155.3180216" @default.
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