| 2020 | SIDE: Security-aware Integrated Development Environment. | Naghmeh Ivaki, Nuno Antunes |
| 2020 | Testing and Debugging Autonomous Driving: Experiences with Path Planner and Future Challenges. | Fuyuki Ishikawa |
| 2020 | Evaluating Deep Learning Classification Reliability in Android Malware Family Detection. | Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone |
| 2020 | Unit Lemmas for Detecting Requirement and Specification Flaws. | Ashlie B. Hocking, Jonathan C. Rowanhill, Ben L. Di Vito |
| 2020 | Root cause prediction based on bug reports. | Thomas Hirsch, Birgit Hofer |
| 2020 | A Fault Localization and Debugging Support Framework driven by Bug Tracking Data. | Thomas Hirsch |
| 2020 | Deep Learning Based Valid Bug Reports Determination and Explanation. | Jianjun He, Ling Xu, Yuanrui Fan, Zhou Xu, Meng Yan, Yan Lei |
| 2020 | Applying Machine Learning with Chaos Engineering. | Juan Hernndez-Serrato, Alejandro Velasco, Yury Nifio, Mario Linares-Vsquez |
| 2020 | ConstBin: A Tool for Automatic Fixing of Unreproducible Builds. | Hongjun He, Jicheng Cao, Lesheng Du, Hao Li, Shilong Wang, Shengyu Cheng |
| 2020 | Resilience, Survivability, and Elasticity: A Taxonomy for Change Impact Quantification of Reconfigurable Systems. | M. Alireza Hakamian, Floriment Klinaku, Andr van Hoorn, Steffen Becker |
| 2020 | Engineering Resilience: Predicting The Change Impact on Performance and Availability of Reconfigurable Systems. | M. Alireza Hakamian |
| 2020 | Static and Verifiable Memory Partitioning for Safety-Critical Systems. | Jean Guyomarc'h, Jean-Baptiste Herv |
| 2020 | New Wine in an Old Bottle: N-Version Programming for Machine Learning Components. | Arpan Gujarati, Sathish Gopalakrishnan, Karthik Pattabiraman |
| 2020 | Reliability Evaluation of ML systems, the oracle problem. | Antonio Guerriero |
| 2020 | Vulnerability Analysis as Trustworthiness Evidence in Security Benchmarking: A Case Study on Xen. | Charles F. Gonalves, Nuno Antunes |
| 2020 | Considering Reliability of Deep Learning Function to Boost Data Suitability and Anomaly Detection. | Lydia Gauerhof, Yuki Hagiwara, Christoph Schorn, Mario Trapp |
| 2020 | Improving the Security of Microservice Systems by Detecting and Tolerating Intrusions. | Jos Flora |
| 2020 | Towards the synthesis of context-aware choreographies. | Gianluca Filippone, Marco Autili, Massimo Tivoli |
| 2020 | Multi-Language Web Vulnerability Detection. | Alexandra Figueiredo, Tatjana Lide, Miguel Correia |
| 2020 | Towards safety monitoring of ML-based perception tasks of autonomous systems. | Raul Sena Ferreira |
| 2020 | An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps. | Ming Fan, Le Yu, Sen Chen, Hao Zhou, Xiapu Luo, Shuyue Li, Yang Liu, Jun Liu, Ting Liu |
| 2020 | Fault Triggers in the TensorFlow Framework: An Experience Report. | Xiaoting Du, Guanping Xiao, Yulei Sui |
| 2020 | Challenges Faced with Application Performance Monitoring (APM) when Migrating to the Cloud. | Vidroha Debroy, Alireza Mansoori, James Haleblian, Mark Wilkens |
| 2020 | On-board Diagnosis: A First Step from Detection to Prevention of Intrusions on Avionics Applications. | Alinor Damien, Pierre-Franois Gimenez, Nathalie Feyt, Vincent Nicomette, Mohamed Kaniche, Eric Alata |
| 2020 | Dependability Evaluation of Middleware Technology for Large-scale Distributed Caching. | Domenico Cotroneo, Roberto Natella, Stefano Rosiello |