Registered user since Fri 15 Apr 2016
Associate Professor
Contributions
Research Papers
Thu 14 Sep 2023 11:18 - 11:30 at Plenary Room 2 - Program Repair 2 Chair(s): Shin YooThe development of correct and efficient software can be hindered by compilation errors, which must be fixed to ensure the code’s syntactic correctness and program language constraints. Neural network-based approaches have been used to tackle this problem, but they lack guarantees of output correctness and can require an unlimited number of modifications. Fixing compilation errors within a given number of modifications is a challenging task. We demonstrate that finding the minimum number of modifications to fix a compilation error is NP-hard. To address compilation error fixing problem, we propose OrdinalFix, a complete algorithm based on shortest-path CFL (context-free language) reachability with attribute checking that is guaranteed to output a program with the minimum number of modifications required. Specifically, OrdinalFix searches possible fixes from the smallest to the largest number of modifications. By incorporating merged attribute checking to enhance efficiency, the time complexity of OrdinalFix is acceptable for application. We evaluate OrdinalFix on two datasets and demonstrate its ability to fix compilation errors within reasonable time limit. Comparing with existing approaches, OrdinalFix achieves a success rate of 83.5%, surpassing all existing approaches (71.7%).
Pre-print File AttachedTool Demonstrations
Wed 13 Sep 2023 11:30 - 11:42 at Room C - Program Repair 1 Chair(s): Arie van DeursenAutomated program repair (APR) approaches suffer from long patch validation time, which limits their practical application and receives relatively low attention. The patch validation process repeatedly executes tests to filter patches, and has been recognized as the dual of mutation analysis. We systematically investigate existing mutation testing techniques and recognize five families of acceleration techniques that are suitable for patch validation, two of which are never adapted to a general-purpose patch validator. We implement and demonstrate ExpressAPR, the first framework that combines five families of acceleration techniques for patch validation as the complete set. In our evaluation on 30 random Defects4J bugs and four APR systems, ExpressAPR accelerates patch validation for two orderof-magnitudes over plain validation or one order-of-magnitude over the state-of-the-art approach, benefiting APR researchers and users with a much shorter patch validation time.
Demo video available at https://youtu.be/7AB-4VvBuuM
Tool repo (source code + Docker image + evaluation dataset) available at https://github.com/ExpressAPR/ExpressAPR
File Attached