Crowdsourced Report Generation via Bug Screenshot Understanding
Wed 13 Nov 2019 13:40 - 13:55 at South Park - Student Research Competition - Selected Presentations (Undergraduate) Chair(s): Jin L.C. Guo, Jie M. Zhang
Quality control is a challenge of crowdsourcing, especially in software testing. As having different levels of skills, some crowdworkers may not complete assigned tasks well. Therefore, it is necessary to propose some auxiliary methods to assist crowdworkers, raising bug report quality. This paper proposes a novel method, namely CroReG, to generate crowdsourcing reports based on bug screenshots. CroReG leverages image understanding techniques to analyze bug screenshots. Image understanding techniques including deep learning and optical character recognition (OCR) techniques are used comprehensively to analyze the screenshots and then CroReG can automatically generate corresponding bug reports. The preliminary experiment results show that CroReG can effectively generate bug reports containing accurate screenshot captions and providing guidance for crowdworkers.
Crowdsourced Report Generation via Bug Screenshot Understanding (CroReG.pdf) | 3.10MiB |
An senior undergraduate student of iSE Lab, Nanjing University.
Tue 12 NovDisplayed time zone: Tijuana, Baja California change
Wed 13 NovDisplayed time zone: Tijuana, Baja California change
13:40 - 15:20 | Student Research Competition - Selected Presentations (Undergraduate)Student Research Competition at South Park Chair(s): Jin L.C. Guo McGill University, Jie M. Zhang University College London, UK | ||
13:40 15m | Crowdsourced Report Generation via Bug Screenshot Understanding Student Research Competition Shengcheng Yu Nanjing University, China File Attached | ||
13:55 15m | Towards Comprehensible Representation of Controllers using Machine Learning Student Research Competition Gargi Balasubramaniam Birla Institute of Technology and Science, Pilani, K K Birla Goa Campus File Attached | ||
14:10 15m | Empirical Study of Python Call Graph Student Research Competition Li Yu Nanjing University | ||
14:25 15m | A Machine Learning based Approach to Identify SQL Injection Vulnerabilities Student Research Competition Kevin Zhang Wayne State University | ||
14:40 15m | Boosting Neural Commit Message Generation with Code Semantic Analysis Student Research Competition Shuyao Jiang Fudan University |