| 2020 | Towards understanding emotional response to requirements changes in agile teams. | Kashumi Madampe, Rashina Hoda, Paramvir Singh |
| 2020 | Towards Understanding Technical Responses to Requirements Changes in Agile Teams. | Kashumi Madampe, Rashina Hoda, John C. Grundy, Paramvir Singh |
| 2020 | Impact analysis of cross-project bugs on software ecosystems. | Wanwangying Ma, Lin Chen, Xiangyu Zhang, Yang Feng, Zhaogui Xu, Zhifei Chen, Yuming Zhou, Baowen Xu |
| 2020 | How Online Forums Complement Task Documentation in Software Crowdsourcing. | Letcia S. Machado, Igor Steinmacher, Sabrina Marczak, Cleidson R. B. de Souza |
| 2020 | Simulation Games Platform for Unintentional Perpetrator Attack Vector Identification. | Martin Mack, Agata Kruzikova, Lukas Daubner, Barbora Buhnova |
| 2020 | Where should I comment my code?: a dataset and model for predicting locations that need comments. | Annie Louis, Santanu Kumar Dash, Earl T. Barr, Michael D. Ernst, Charles Sutton |
| 2020 | Understanding Implicit User Feedback from Multisensorial and Physiological Data: A case study. | Franci Suni Lopez, Nelly Condori-Fernndez, Alejandro Catal |
| 2020 | Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study. | Ke Li, Zilin Xiang, Tao Chen, Shuo Wang, Kay Chen Tan |
| 2020 | Leveraging test logs for building a self-adaptive path planner. | Kun Liu, Xiaoyi Zhang, Paolo Arcaini, Fuyuki Ishikawa, Wenpin Jiao |
| 2020 | Securing unsafe rust programs with XRust. | Peiming Liu, Gang Zhao, Jeff Huang |
| 2020 | DroidMutator: an effective mutation analysis tool for Android applications. | Jian Liu, Xusheng Xiao, Lihua Xu, Liang Dou, Andy Podgurski |
| 2020 | A large-scale empirical study on vulnerability distribution within projects and the lessons learned. | Bingchang Liu, Guozhu Meng, Wei Zou, Qi Gong, Feng Li, Min Lin, Dandan Sun, Wei Huo, Chao Zhang |
| 2020 | A Testing Tool for Machine Learning Applications. | Yelin Liu, Yang Liu, Tsong Yueh Chen, Zhi Quan Zhou |
| 2020 | Is using deep learning frameworks free?: characterizing technical debt in deep learning frameworks. | Jiakun Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li |
| 2020 | Bugine: a bug report recommendation system for Android apps. | Ziqiang Li, Shin Hwei Tan |
| 2020 | MSABot: A Chatbot Framework for Assisting in the Development and Operation of Microservice-Based Systems. | Chun-Ting Lin, Shang-Pin Ma, Yu-Wen Huang |
| 2020 | Schrdinger's security: opening the box on app developers' security rationale. | Dirk van der Linden, Pauline Anthonysamy, Bashar Nuseibeh, Thein Than Tun, Marian Petre, Mark Levine, John N. Towse, Awais Rashid |
| 2020 | A Testbed for Hardware-assisted Online Profiling of IoT devices. | Shangrong Li, Junyan Ma, Yi Li |
| 2020 | DCO analyzer: local controllability and observability analysis and enforcement of distributed test scenarios. | Bruno Lima, Joo Pascoal Faria |
| 2020 | Automated bug reproduction from user reviews for Android applications. | Shuyue Li, Jiaqi Guo, Ming Fan, Jian-Guang Lou, Qinghua Zheng, Ting Liu |
| 2020 | Lazy product discovery in huge configuration spaces. | Michael Lienhardt, Ferruccio Damiani, Einar Broch Johnsen, Jacopo Mauro |
| 2020 | Oracle Issues in Machine Learning and Where to Find Them. | Cynthia C. S. Liem, Annibale Panichella |
| 2020 | Explanations for human-on-the-loop: a probabilistic model checking approach. | Nianyu Li, Sridhar Adepu, Eunsuk Kang, David Garlan |
| 2020 | Towards providing automated supports to developers on writing logging statements. | Zhenhao Li |
| 2020 | Improving bug detection and fixing via code representation learning. | Yi Li |