AST

Publications

2023

Julian Thome, James Johnson, Isaac Dawson, Dinesh Bolkensteyn, Michael Henriksen, Mark Art
SourceWarp: A scalable, SCM-driven testing and benchmarking approach to support data-driven and agile decision making for CI/CD tools and DevOps platforms. AST (2023)
Xiaoxue Wu, Wenjing Shan, Wei Zheng, Zhiguo Chen, Tao Ren, Xiaobing Sun
An Intelligent Duplicate Bug Report Detection Method Based on Technical Term Extraction. AST (2023)
Patrick Stöckle, Michael Sammereier, Bernd Grobauer, Alexander Pretschner
Better Safe Than Sorry! Automated Identification of Functionality-Breaking Security-Configuration Rules. AST (2023)
Taejun Lee, Heewon Park, Heejo Lee
AutoMetric: Towards Measuring Open-Source Software Quality Metrics Automatically. AST (2023)
Ranim Khojah, Chi Hong Chao, Francisco Gomes de Oliveira Neto
Evaluating the Trade-offs of Text-based Diversity in Test Prioritisation. AST (2023)
Soha Hussein, Stephen McCamant, Elena Sherman, Vaibhav Sharma, Mike Whalen
Structural Test Input Generation for 3-Address Code Coverage Using Path-Merged Symbolic Execution. AST (2023)
Yavuz Köroglu, Franz Wotawa
Towards a Review on Simulated ADAS/AD Testing. AST (2023)
Xiaoning Chang, Zheheng Liang, Yifei Zhang, Lei Cui, Zhenyue Long, Guoquan Wu, Yu Gao, Wei Chen, Jun Wei, Tao Huang
A Reinforcement Learning Approach to Generating Test Cases for Web Applications. AST (2023)
Antonia Bertolino, Guglielmo De Angelis, Felicita Di Giandomenico, Francesca Lonetti
Cross-coverage testing of functionally equivalent programs. AST (2023)
Sushant Kumar Pandey, Anil Kumar Tripathi
Cross-Project setting using Deep learning Architectures in Just-In-Time Software Fault Prediction: An Investigation. AST (2023)
Milos Ojdanic, Ahmed Khanfir, Aayush Garg, Renzo Degiovanni, Mike Papadakis, Yves Le Traon
On Comparing Mutation Testing Tools through Learning-based Mutant Selection. AST (2023)
Renan Greca, Breno Miranda, Antonia Bertolino
Orchestration Strategies for Regression Test Suites. AST (2023)
IEEE/ACM International Conference on Automation of Software Test, AST 2023, Melbourne, Australia, May 15-16, 2023 AST (2023)
Amal Akli, Guillaume Haben, Sarra Habchi, Mike Papadakis, Yves Le Traon
FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning. AST (2023)
Martin Gruber, Gordon Fraser
Debugging Flaky Tests using Spectrum-based Fault Localization. AST (2023)
Weisong Sun, Weidong Qian, Bin Luo, Zhenyu Chen
MuTCR: Test Case Recommendation via Multi-Level Signature Matching. AST (2023)
Rezwana Mamata, Akramul Azim, Ramiro Liscano, Kevin Smith, Yee-Kang Chang, Gkerta Seferi, Qasim Tauseef
Test Case Prioritization using Transfer Learning in Continuous Integration Environments. AST (2023)
Moritz Beller, Hongyu Li, Vivek Nair, Vijayaraghavan Murali, Imad Ahmad, Jürgen Cito, Drew Carlson, Gareth Ari Aye, Wes Dyer
Learning to Learn to Predict Performance Regressions in Production at Meta. AST (2023)
Sydur Rahaman, Umar Farooq, Iulian Neamtiu, Zhijia Zhao
Detecting Potential User-data Save & Export Losses due to Android App Termination. AST (2023)
Shawn Rasheed, Jens Dietrich, Amjed Tahir
On the Effect of Instrumentation on Test Flakiness. AST (2023)

2014

2013