The surge in automatic SE research aims to boost development efficiency and quality while reducing costs. However, challenges such as limited real-world project data and inadequate data conditions constrain the effectiveness of these methods. To systematically understand these challenges, our pilot study reviews prevalent data challenges across various SE tasks. Despite these challenges, thanks to the advances of large language model offers promising performance on SE tasks.

Overall, this pilot survey focused on provide a quick retrospective review on SE data challenges and introduce practical LLM solutions from the SE community to mitigate these challenges.