一句话：提出 CroReG，利用图像理解分析众包测试者上传的 Bug 截图，自动生成高质量的众包 Bug 报告。
众包软件测试面临质量控制难题：由于部分参与者并不专业，低质量产出可能使众包测试无法满足需求方要求，因此有必要辅助众包工人提高 Bug 报告质量。本文提出一种新的辅助方法 CroReG，通过图像理解技术分析众包工人上传的 Bug 截图，并据此生成众包 Bug 报告。初步实验结果表明，CroReG 能够有效生成包含准确截图说明的 Bug 报告，并为众包工人提供正向引导。
Quality control is a challenge of crowdsourcing, especially in software testing. As some unprofessional workers involved, low-quality yieldings may hinder crowdsourced testing from satisfying requesters' requirements. Therefore, it is in demand to assist crowdworkers to raise bug report quality. In this paper, we propose a novel auxiliary method, namely CroReG, to generate crowdsourcing bug reports by analyzing bug screenshots uploaded by crowdworkers with image understanding techniques. The preliminary experiment results show that CroReG can effectively generate bug reports containing accurate screenshot captions and providing positive guidance for crowdworkers.
DOI 原文 ·
@inproceedings{paperbot5204,
title = {Crowdsourced Report Generation via Bug Screenshot Understanding},
author = {Shengcheng Yu},
booktitle = {ASE},
year = {2019},
doi = {10.1109/ase.2019.00161}
}