2 citations · 4 across the 7 of their papers we have counts for
6 papers · 1 filter
VISCA: Inferring Component Abstractions for Automated End-to-End Testing
Parsa Alian, Martin Tang, Ali Mesbah
Providing optimal contextual input presents a significant challenge for automated end-to-end (E2E) test generation using large language models (LLMs), a limitation that current app…
NaviQAte: Functionality-Guided Web Application Navigation
Mobina Shahbandeh, Parsa Alian, Noor Nashid +1
End-to-end web testing is challenging due to the need to explore diverse web application functionalities. Current state-of-the-art methods, such as WebCanvas, are not designed for…
Dockerfile Flakiness: Characterization and Repair
Taha Shabani, Noor Nashid, Parsa Alian +1
Dockerfile flakiness-unpredictable temporal build failures caused by external dependencies and evolving environments-undermines deployment reliability and increases debugging overh…
Feature-Driven End-To-End Test Generation
Parsa Alian, Noor Nashid, Mobina Shahbandeh +2
End-to-end (E2E) testing is essential for ensuring web application quality. However, manual test creation is time-consuming, and current test generation techniques produce incohere…
Contextual API Completion for Unseen Repositories Using LLMs
Noor Nashid, Taha Shabani, Parsa Alian +1
Large language models have made substantial progress in addressing diverse code-related tasks. However, their adoption is hindered by inconsistencies in generating output due to th…
Semantic Constraint Inference for Web Form Test Generation
Parsa Alian, Noor Nashid, Mobina Shahbandeh +1
Automated test generation for web forms has been a longstanding challenge, exacerbated by the intrinsic human-centric design of forms and their complex, device-agnostic structures.…