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Automated Program Repair has attracted significant research in recent years, leading to diverse techniques which focus on two main directions: search-based and semantic-based program repair. The former techniques often face challenges due to the ...

Automated Program Repair (APR) is a technique that can automatically fix software defects without manual debugging, playing a crucial role in software development and maintenance. However, the patches generated by APR still suffer from the ...

• APOSTLE is a learning-based unsupervised model with advanced pre-trained models.
• APOSTLE solves low code semantic feature extraction during code vectorization process.
• APOSTLE achieves competitive performances on large trusted ...

With the rapid development and large-scale popularity of program software, modern society increasingly relies on software systems. However, the problems exposed by software have also come to the fore. The software bug has become an important factor ...

We investigated whether (possibly wrong) security patches suggested by Automated Program Repairs (APR) for real world projects are recognized by human reviewers. We also investigated whether knowing that a patch was produced by an ...

Automated program repair (APR) using deep learning techniques has become an important area of research in recent years, aiming to automatically generate bug-fixing patches that can improve software reliability and maintainability. However, most ...

• Multilingual neural program repair based on CodeT5, a pre-trained transformer model.
• Multitask learning on one model eliminates the need for separate language models.
• Checkpoint ensemble strategy enhances patch recommendation ...

Previous studies have shown that Automated Program Repair (apr) techniques suffer from the overfitting problem. Overfitting happens when a patch is run and the test suite does not reveal any error, but the patch actually does not fix the ...

This paper presents our approach proposed to detect and create indivisible multi-hunk bugs, an evaluation of existing repair techniques based on these bugs, and a study of the patches of these bugs constructed by the developers and existing tools. Multi-...

Discovering and mitigating software vulnerabilities is a challenging task. These vulnerabilities are often caused by simple, otherwise (and in other contexts) harmless code snippets (e.g., unchecked path traversal). Large Language Models (LLMs) promise ...

This paper describes a formal general-purpose automated program repair (APR) framework based on the concept of program invariants. In the presented repair framework, the execution traces of a defected program are dynamically analyzed to infer ...${}_{\mathit{}}$${}_{\mathit{}}$${}_{\mathit{}}$${}_{\mathit{}}$

Supporting learners in introductory programming assignments at scale is a necessity. This support includes automated feedback on what learners did incorrectly. Existing approaches cast the problem as automatically repairing learners’ incorrect ...

• We adapt a “search, align and repair” approach to fix novice learner programs.
• We present a flexible program alignment scheme that enhances repair capabilities.
• Our experiments use programs from twenty real-world programming ...

Automated Program Repair (APR) is defined as the process of fixing a bug/defect in the source code, by an automated tool. APR tools have recently experienced promising results by leveraging state-of-the-art Neural Language Processing (NLP) techniques. APR ...

Modern automated program repair (APR) is well-tuned to finding and repairing bugs that introduce observable erroneous behavior to a program. However, a significant class of bugs does not lead to observable behavior (e.g., termination bugs and non-...

• A bug classification system based on observability, reproducibility, and tractability.
• Enable systematic exploration and comparison of APR approaches and find opportunities.
• Describes four classes of APR and identify when each can ...

To date, the users of test-driven program repair tools suffer from the overfitting problem; a generated patch may pass all available tests without being correct. In the existing work, users are treated as merely passive consumers of the tests. However, ...

Security vulnerability fixes could be a promising research avenue for Automated Program Repair (APR) techniques. In recent years, APR tools have been thoroughly developed for fixing generic bugs. However, the area is still relatively unexplored ...

Automatic program repair (APR) is crucial to reduce manual debugging efforts for developers and improve software reliability. While conventional search-based techniques typically rely on heuristic rules or a redundancy assumption to mine fix patterns, ...

Automated program modification underlies two successful research areas — genetic improvement and program repair. Under the generate-and-validate strategy, automated program modification transforms a program, then validates the result against a ...

Fix pattern-based patch generation is a promising direction in automated program repair (APR). Notably, it has been demonstrated to produce more acceptable and correct patches than the patches obtained with mutation operators through genetic programming. ...

Evaluation is the foundation of automated program repair (APR), as it provides empirical evidence on strengths and weaknesses of APR techniques. However, the reliability of such evaluation is often threatened by various introduced biases. Consequently, ...

Application Programming Interfaces (APIs) in cryptography typically impose concealed usage constraints. The violations of these usage constraints can lead to software crashes or security vulnerabilities. Several professional tools can ...

• An intelligent tutoring approach for educating secure software development.
• An ...

Automated program repair (APR) is a concept of automatically fixing bugs in source code to free developers from the burden of debugging. One of the issues facing search-based APR is that repaired code contains wasteful or meaningless statements ...