CRAWLABEL: Computing Natural-Language Labels for UI Test Cases. - Yu Liu 079; Rahulkrishna Yandrapally; Anup K. Kalia; Saurabh Sinha; Rachel Tzoref-Brill; Ali Mesbah 001 (AST@ICSE, 2022)

Comparing and Combining Analysis-Based and Learning-Based Regression Test Selection. - Jiyang Zhang 003; Yu Liu 079; Milos Gligoric 001; Owolabi Legunsen; August Shi (AST@ICSE, 2022)

Inline Tests. - Yu Liu 079; Pengyu Nie 001; Owolabi Legunsen; Milos Gligoric 001 (ASE, 2022)

pytest-inline: An Inline Testing Tool for Python. - Yu Liu 079; Zachary Thurston; Alan Han; Pengyu Nie 001; Milos Gligoric 001; Owolabi Legunsen (ICSE Companion, 2023)

More Precise Regression Test Selection via Reasoning about Semantics-Modifying Changes. - Yu Liu 079; Jiyang Zhang 003; Pengyu Nie 001; Milos Gligoric 001; Owolabi Legunsen (ISSTA, 2023)

Extracting Inline Tests from Unit Tests. - Yu Liu 079; Pengyu Nie 001; Anna Guo; Milos Gligoric 001; Owolabi Legunsen (ISSTA, 2023)

ExLi: An Inline-Test Generation Tool for Java. - Yu Liu 079; Aditya Thimmaiah; Owolabi Legunsen; Milos Gligoric 001 (SIGSOFT FSE Companion, 2024)

Generating Exceptional Behavior Tests with Reasoning Augmented Large Language Models. - Jiyang Zhang 003; Yu Liu 079; Pengyu Nie 001; Junyi Jessy Li; Milos Gligoric 001 (CoRR, 2024)

exLong: Generating Exceptional Behavior Tests with Large Language Models. - Jiyang Zhang 003; Yu Liu 079; Pengyu Nie 001; Junyi Jessy Li; Milos Gligoric 001 (ICSE, 2025)

A Tool for Generating Exceptional Behavior Tests With Large Language Models. - Linghan Zhong; Samuel Yuan; Jiyang Zhang 003; Yu Liu 079; Pengyu Nie 001; Junyi Jessy Li; Milos Gligoric 001 (SIGSOFT FSE Companion, 2025)