Domain Project

We are happy to announce that our paper “A Framework for Similarity-based and Resource-aware Orchestration of End-to-End Test Cases” has been accepted at the AST 2026 (IEEE/ACM International Conference on Automation of Software Test), held in conjunction with the International Conference on Software Engineering (ICSE).

The study addresses the escalating costs and time constraints associated with testing in Continuous Integration (CI) environments. As software repositories evolve rapidly, executing full end-to-end (E2E) test suites becomes increasingly impractical due to the high demand for computational resources and the time required for environment redeployments. To solve this, the authors introduce SIMphony, an innovative framework that integrates similarity-based test selection with resource-aware orchestration.

SIMphony operates through a multi-stage process: it first assesses the similarity between test cases to identify redundancies, then selects the optimal regression strategy, such as prioritization or reduction, and finally schedules execution based on resource compatibility. This approach maximizes parallelism while minimizing the overhead of redeploying test environments.