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International Conference on Software Testing, Verification and Validation

ICST

A

CORE rank

CORE rank (raw)

A

Fields of research

Software Engineering

Papers indexed

2,255

2008–2026

Papers per year

2008161 peak2026

ICST papers

2,255 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2026How well LLM-based test generation techniques perform with newer LLM versions?Michael Konstantinou, Renzo Degiovanni, Mike Papadakis
2026Towards an Actionable Flakiness Score.Joanna Kisaakye, Mutlu Beyazit, Serge Demeyer
2026LLM-Assisted Cause-Effect Graph Generation for Requirements-Based Test Design.Hiroyuki Kirinuki
2026Cooperative Defense Against Suicide Drones for a Moving Asset.Sumi Kim, Hynju Jang, Kyori Park, Dowon Kim, Pilsu Jung
2026Analyzing the Latent Input Space of LLMs for Systematic Prompt Testing.Somin Kim
2026Clustering First-Order Mutants by Behavioural Similarity: A Graph-Based Approach to Higher-Order Mutant Generation.Sajjad Hesamipour Khelejan, Thomas Laurent, Anthony Ventresque
2026SafeBound: A Modular Toolchain for End-to-End Safety Evaluation of ADS.Fauzia Khan, Ali Ihsan Gll, Hina Anwar, Dietmar Pfahl
2026Towards Extraction of Ambiguous Expressions in Requirements Using Neuro-Symbolic AI.Toshiharu Kato, Satoshi Masuda, Tomohiro Takeda
2026Towards Automated Page Object Generation for Web Testing using Large Language Models.Betupsilonl Karagz, Filippo Ricca, Matteo Biagiola, Andrea Stocco
2026Neural Embeddings for Web Testing.Kasun Kanaththage, Luigi Libero Lucio Starace, Matteo Biagiola, Paolo Tonella, Andrea Stocco
2026The Good, the Bad, and the Flaky: A New Sheriff in Town to Manage Unstable Tests at Scale.Maximilian Jungwirth, Martin Gruber, Gordon Fraser
2026Predictive Pull Request Batching to Accelerate Merge Pipelines in Continuous Integration at Scale.Maximilian Jungwirth, Martin Gruber, Gordon Fraser
2026Poster: Transformer-Based Detection of Code Obfuscation Techniques Using Opcode Sequences.Inwoo Jo, Wanju Kim, Eun-Sun Cho
2026Association Rules Based Fault Localization in Combinatorial Testing.Rekha Jayaram, Krishnan Rangarajan
2026Improving Automated Patch Correctness Assessment by Designing LLM-Based Oracles.Inyeong Jang, Jinyoung Kim
2026Dynasto: Validity-Aware Dynamic-Static Parameter Optimization for Autonomous Driving Testing.Dmytro Humeniuk, Mohammad Hamdaqa, Houssem Ben Braiek, Amel Bennaceur, Foutse Khomh
2026FATHOMS-RAG: A Framework for the Assessment of Thinking and Observation in Multimodal Systems that use Retrieval Augmented Generation.Samuel Hildebrand, Curtis Taylor, Sean Oesch, James M. Ghawaly, Amir Sadovnik, Ryan Shivers, Brandon Schreiber, Kevin Kurian
2026TSV: Training Set Verification - Detection of Unauthorized Data Additions to the Training Set of Machine Learning Models Using Out-of-Distribution Technique.Ido Hersko, Edita Grolman, Yitschak Cahana, Asaf Shabtai, Yuval Elovici
2026TriAD: a Tricorder-based tool for detecting anomalies in software.Caio Guimares Herrera, Simone R. S. Souza, Ricardo Ribeiro dos Santos, Paulo Sergio Lopes de Souza
2026Taming the Variants Multi-Architecture Continuous Testing at Google.Tim A. D. Henderson, Sushmita Azad, Chandrakanth Chittappa, Ali Esmaeeli, Laura Macaddino, Sam Manfreda, David Margolin, Dharma Naidu, Sabuj Pattanayek, Sachin Sable, Ruslan Sakevych, Dushyant Acharya, Adrian Berding, Kevin Crossan, Wolff Dobson, Avi Kondareddy, Abhayendra Singh
2026A Systematic Evaluation of Environmental Flakiness in JavaScript Tests.Negar Hashemi, Amjed Tahir, August Shi, Shawn Rasheed, Rachel Blagojevic
2026Assessing the Impact of Code Changes on the Fault Localizability of Large Language Models.Sabaat Haroon, Ahmad Faraz Khan, Ahmad Humayun, Waris Gill, Abdul Haddi Amjad, Ali Raza Butt, Mohammad Taha Khan, Muhammad Ali Gulzar
2026BESSER-TestGen: Automated Model-based Unit Test Generation for Low-Code Applications.Fitash Ul Haq, Jordi Cabot
2026Round-Trip Mutation Testing: Translating Code to Natural Language Intent and back.Asma Hamidi, Cedric Richter, Ahmed Khanfir, Mike Papadakis
2026A Multimodal NLP Framework for Detecting and Removing with Explanation Code Vulnerabilities.Jorge Guerreiro
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