Ajay Kumar Jha

24 papers A* 1A 6C 2Misc 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
An Empirical Study of Python Library Migration Using Large Language Models.
ASE
Mohayeminul Islam, Ajay Kumar Jha, May Mahmoud, Ildar Akhmetov, Sarah Nadi
2025 J jnl
PyMigTool: a tool for end-to-end Python library migration.
CoRR
Mohayeminul Islam, Ajay Kumar Jha, May Mahmoud, Sarah Nadi
2025 A conf
Understanding Test Deletion in Java Applications.
MSR
Suraj Bhatta, Frank Kendemah, Ajay Kumar Jha
2025 J jnl
Using LLMs for Library Migration.
CoRR
Mohayeminul Islam, Ajay Kumar Jha, May Mahmoud, Ildar Akhmetov, Sarah Nadi
2024 J jnl
Characterizing Python Library Migrations.
Proc. ACM Softw. Eng.
Mohayeminul Islam, Ajay Kumar Jha, Ildar Akhmetov, Sarah Nadi
2024 C conf
Migrating Unit Tests Across Java Applications.
SCAM
Ajay Kumar Jha, Sarah Nadi
2024 A conf
TREC: A Regression Test Recommender for Java Projects.
ICSME
Sai Kiran Bhrugumalla, Ajay Kumar Jha
2023 A conf
JTestMigBench and JTestMigTax: A benchmark and taxonomy for unit test migration.
SANER
Ajay Kumar Jha, Mohayeminul Islam, Sarah Nadi
2023 A conf
PyMigBench: A Benchmark for Python Library Migration.
MSR
Mohayeminul Islam, Ajay Kumar Jha, Sarah Nadi, Ildar Akhmetov
2022 — conf
A Human-in-the-loop Approach to Generate Annotation Usage Rules.
CASCON
Mansur Gulami, Ajay Kumar Jha, Sarah Nadi, Karim Ali, Yee-Kang Chang, Emily Jiang
2022 A conf
Mining Annotation Usage Rules: A Case Study with MicroProfile.
ICSME
Batyr Nuryyev, Ajay Kumar Jha, Sarah Nadi, Yee-Kang Chang, Emily Jiang, Vijay Sundaresan
2022 J jnl
PyMigBench and PyMigTax: A Benchmark and Taxonomy for Python Library Migration.
CoRR
Mohayeminul Islam, Ajay Kumar Jha, Sarah Nadi
2020 J jnl
A Log-Based Testing Approach for Detecting Faults Caused by Incorrect Assumptions About the Environment.
IEICE Trans. Inf. Syst.
Sooyong Jeong, Ajay Kumar Jha, Youngsul Shin, Woo Jin Lee
2020 C conf
Annotation practices in Android apps.
SCAM
Ajay Kumar Jha, Sarah Nadi
2019 — conf
A framework for testing Android apps by reusing test cases.
MOBILESoft@ICSE
Ajay Kumar Jha, Deok Yeop Kim, Woo Jin Lee
2019 J jnl
An empirical study of configuration changes and adoption in Android apps.
J. Syst. Softw.
Ajay Kumar Jha, Sunghee Lee, Woo Jin Lee
2019 — conf
Characterizing Android-specific crash bugs.
MOBILESoft@ICSE
Ajay Kumar Jha, Sunghee Lee, Woo Jin Lee
2018 J jnl
An empirical study of collaborative model and its security risk in Android.
J. Syst. Softw.
Ajay Kumar Jha, Woo Jin Lee
2017 A conf
Developer mistakes in writing Android manifests: an empirical study of configuration errors.
MSR
Ajay Kumar Jha, Sunghee Lee, Woo Jin Lee
2016 J jnl
Analysis of Permission-based Security in Android through Policy Expert, Developer, and End User Perspectives.
J. Univers. Comput. Sci.
Ajay Kumar Jha, Woo Jin Lee
2015 — conf
Modeling and Test Case Generation of Inter-component Communication in Android.
MOBILESoft
Ajay Kumar Jha, Sunghee Lee, Woo Jin Lee
2015 — conf
Permission-based security in android application: from policy expert to end user.
RACS
Ajay Kumar Jha, Seungmin Lee, Woo Jin Lee
2014 Misc conf
Virtual prototype generation by shockwave flash for simulating HW components of embedded system.
SAC
Soo Young Jang, Ajay Kumar Jha, Woo Jin Lee
2013 — conf
Value-deterministic search-based replay for android multithreaded applications.
RACS
Ajay Kumar Jha, Sooyong Jeong, Woo Jin Lee