Automated code debugging has engaged researchers owing to its potential to minimize repair costs. To reduce the developer’s load, bug correcting, and extracting methods are widely used to demonstrate as problem results for productive fixing and nurturing the work product in the last few years. We analyzed several automated tools, techniques, and strategies that applied in different applications, languages which gave tremendous results in some cases, so we try to grab the works that happened. Our survey on code repair tools will help the developers in locating the accurate position where the bug occurs, this can significantly reduce the cost of software development. In this paper, we studied some tools for automated correction and localization of tools from 2001 and analyzed the effectiveness of the tools. We show the results of our survey in Table 1 of Fault Localization tools and Table 2 of Fault Correcting. And the graph shows the scenario of automated tools day by day and its usage. For correction tools we concentrated on parameters like Bugs Reported, Bugs corrected, Time to correct the bugs, LOC used, and finally the outcome of the tool. This survey helpful for the developers in choosing the appropriate tool.
CITATION STYLE
Mamatha, T., Reddy, B. R. S., & Bindu, C. S. (2022). A Literature Review on Automated Code Repair. In Lecture Notes in Networks and Systems (Vol. 237, pp. 249–260). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-6407-6_23
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