Artifacts and Results from the TrustDNN Replication Package for ISSTA2024 submission

Artifacts and results from the Replication Package for our ISSTA2024 submission "Evaluating the Trustworthiness of Deep Neural Networks in Deployment - A Comparative Study (Replicability Study)". There is a folder 'experiments' in the compressed archive file. Inside that folder you will find two folders, namely replication (RQ1 and RQ2) and comparison (RQ3, and RQ4). For each one, you will find the files efficiency.csv and effectiveness.csv with the efficiency and effectiveness results, respectively. In those folders you will also find additional figures and all the artifacts and logs generated by the tools for each dataset/model.