Obstacles in Fully Automatic Program Repair: A survey

November 05, 2020 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Obstacles in Fully Automatic Program Repair: A survey"

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Authors S. Amirhossein Mousavi, Donya Azizi Babani, Francesco Flammini arXiv ID 2011.02714 Category cs.SE: Software Engineering Cross-listed cs.AI Citations 3 Venue arXiv.org Last Checked 4 days ago
Abstract
The current article is an interdisciplinary attempt to decipher automatic program repair processes. The review is done by the manner typical to human science known as diffraction. We attempt to spot a gap in the literature of self-healing and self-repair operations and further investigate the approaches that would enable us to tackle the problems we face. As a conclusion, we suggest a shift in the current approach to automatic program repair operations in order to attain our goals. The emphasis of this review is to achieve full automation. Several obstacles are shortly mentioned in the current essay but the main shortage that is covered is the overfitting obstacle, and this particular problem is investigated in the stream that is related to full automation of the repair process.
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