@inproceedings{5bf6a03bb8524d97b8bbeb03935354d1,
title = "Practitioners' Expectations on Automated Test Generation",
abstract = "Automated test generation can help developers craft high-quality software tests while mitigating the manual effort needed for writing test code. Despite significant research efforts in automated test generation for nearly 50 years, there is a lack of clarity about what practitioners expect from automated test generation tools and whether the existing research meets their needs. To address this issue, we follow a mixed-methods approach to gain insights into practitioners' expectations of automated test generation. We first conduct the qualitative analysis from semi-structured interviews with 13 professionals, followed by a quantitative survey of 339 practitioners from 46 countries across five continents. We then conduct a literature review of premier venue papers from 2022 to 2024 (in the last three years) and compare current research findings with practitioners' expectations. From this comparison, we outline future research directions for researchers to bridge the gap between automated test generation research and practitioners' expectations. {\textcopyright} 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.",
keywords = "Empirical Study, Practitioners' Expectations, Test Generation",
author = "Xiao Yu and Lei Liu and Xing Hu and Jacky Keung and Xin Xia and David Lo",
year = "2024",
month = sep,
doi = "10.1145/3650212.3680386",
language = "English",
isbn = "979-8-4007-0612-7",
series = "ISSTA - Proceedings of ACM SIGSOFT International Symposium on Software Testing and Analysis",
publisher = "Association for Computing Machinery",
pages = "1618--1630",
booktitle = "ISSTA 2024",
address = "United States",
note = "33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2024 ; Conference date: 16-09-2024 Through 20-09-2024",
}