Automated Software Code Error Fixing Task
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An Automated Software Code Error Fixing Task is a Software Code Error Fixing Task that is an automated error fixing task.
- See: WikiFixer Task.
References
2017
- (Gupta et al., 2017) ⇒ Rahul Gupta, Soham Pal, Aditya Kanade, and Shirish Shevade. (2017). “DeepFix: Fixing Common C Language Errors by Deep Learning.” In: Proceedings of AAAI-2017.
- QUOTE: ... The problem of automatically fixing programming errors is a very active research topic in software engineering. This is a challenging problem as fixing even a single error may require analysis of the entire program. In practice, a number of errors arise due to programmer's inexperience with the programming language or lack of attention to detail. We call these common programming errors. These are analogous to grammatical errors in natural languages. Compilers detect such errors, but their error messages are usually inaccurate. In this work, we present an end-to-end solution, called DeepFix, that can fix multiple such errors in a program without relying on any external tool to locate or fix them. ...
... Debugging programming errors is one of the most time-consuming activities for programmers. Therefore, the problem of automatically fixing programming errors, also called program repair, is a very active research topic in software engineering (Monperrus 2015). Most of the program repair techniques focus on logical errors in programs. Using a specification of the program (such as a test suite or an assertion), they attempt to fix the program. Since their focus is on fixing logical errors in individual programs, they assume that the program compiles successfully.
- QUOTE: ... The problem of automatically fixing programming errors is a very active research topic in software engineering. This is a challenging problem as fixing even a single error may require analysis of the entire program. In practice, a number of errors arise due to programmer's inexperience with the programming language or lack of attention to detail. We call these common programming errors. These are analogous to grammatical errors in natural languages. Compilers detect such errors, but their error messages are usually inaccurate. In this work, we present an end-to-end solution, called DeepFix, that can fix multiple such errors in a program without relying on any external tool to locate or fix them. ...
2014
- (Pei, Furia et al., 2014) ⇒ Yu Pei, Carlo A. Furia, Martin Nordio, Yi Wei, Bertrand Meyer, and Andreas Zeller. (2014). “Automated Fixing of Programs with Contracts.” Ieee transactions on software engineering 40, no. 5
- QUOTE: This paper describes AutoFix, an automatic debugging technique that can fix faults in general-purpose software. To provide high-quality fix suggestions and to enable automation of the whole debugging process, AutoFix relies on the presence of simple specification elements in the form of contracts (such as pre- and postconditions). Using contracts enhances the precision of dynamic analysis techniques for fault detection and localization, and for validating fixes. The only required user input to the AutoFix supporting tool is then a faulty program annotated with contracts; the tool produces a collection of validated fixes for the fault ranked according to an estimate of their suitability. In an extensive experimental evaluation, we applied AutoFix to over 200 faults in four code bases of different maturity and quality (of implementation and of contracts). AutoFix successfully fixed 42 percent of the faults, producing, in the majority of cases, corrections of quality comparable to those competent programmers would write; the used computational resources were modest, with an average time per fix below 20 minutes on commodity hardware. These figures compare favorably to the state of the art in automated program fixing, and demonstrate that the AutoFix approach is successfully applicable to reduce the debugging burden in real-world scenarios.