Work

ArkEval: Benchmarking and Evaluating Automated Code Repair for ArkTS

Year: 2026

Type: conference-paper

Abstract: Automated program repair benchmarks largely cover mature languages such as Python and Java, leaving limited support for ArkTS and OpenHarmony. We present ArkEval, an executable repository-level benchmark for evaluating repair on real ArkTS/OpenHarmony issue-resolution tasks. To the best of our knowledge, it is the first benchmark with this scope.

Source: IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI: 10.1145/3832783.3837514

Authors: Bang Xie, Senjian Zhang, Zhiyuan Peng, Wei Chen, Xin Yin, Chenhao Ying, Yuan Luo

Institutions: Shanghai Jiao Tong University, Zhejiang University

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Natural Science Foundation of China

Award: G8189962075

OpenAlex ID: W7128530402

FWCI:

Cites:

Cited by:

Related to: