Table of Contents

• LightSys: Lightweight and Efficient CI System for Improving Integration Speed of SoftwareGeunsik Lim, MyungJoo Ham, Ji Joong Moon, Wook Song. 1-10 [doi]
• Using Machine Intelligence to Prioritise Code Review RequestsNishrith Saini, Ricardo Britto 0001. 11-20 [doi]
• A Passion for Security: Intervening to Help Software DevelopersCharles Weir, Ingolf Becker, Lynne Blair. 21-30 [doi]
• Challenges of Implementing Software Variability in Eclipse OMR: An Interview StudyBatyr Nuryyev, Sarah Nadi, Nazim Uddin Bhuiyan, Leonardo Banderali. 31-40 [doi]
• Please Turn Your Cameras on: Remote Onboarding of Software Developers During a PandemicPaige Rodeghero, Thomas Zimmermann 0001, Brian Houck, Denae Ford. 41-50 [doi]
• Asset Management in Machine Learning: A SurveySamuel Idowu, Daniel Strüber 0001, Thorsten Berger. 51-60 [doi]
• An Interview Study of how Developers use Execution Logs in Embedded Software EngineeringNan Yang 0009, Pieter J. L. Cuijpers, Ramon R. H. Schiffelers, Johan Lukkien, Alexander Serebrenik. 61-70 [doi]
• Automatically Identifying Parameter Constraints in Complex Web APIs: A Case Study at AdyenHenk Grent, Aleksei Akimov, Maurício Aniche. 71-80 [doi]
• Search-Based Software Re-Modularization: A Case Study at AdyenCasper Schröder, Adriaan van der Feltz, Annibale Panichella, Maurício Aniche. 81-90 [doi]
• ConfigFix: Interactive Configuration Conflict Resolution for the Linux KernelPatrick Franz, Thorsten Berger, Ibrahim Fayaz, Sarah Nadi, Evgeny Groshev. 91-100 [doi]
• Robustness of on-Device Models: Adversarial Attack to Deep Learning Models on Android AppsYujin Huang, Han Hu, Chunyang Chen. 101-110 [doi]
• D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential AnalysisYunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, Zhong Su. 111-120 [doi]
• On the Lack of Consensus Among Technical Debt Detection ToolsJason Lefever, Yuanfang Cai, Humberto Cervantes, Rick Kazman, Hongzhou Fang. 121-130 [doi]
• Learning Autocompletion from Real-World DatasetsGareth Ari Aye, Seohyun Kim, HongYu Li. 131-139 [doi]
• Testing Web Enabled Simulation at Scale Using Metamorphic TestingJohn Ahlgren, Maria Eugenia Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Maria Lomeli, Erik Meijer 0001, Silvia Sapora, Justin Spahr-Summers. 140-149 [doi]
• Anomaly Detection in a Large-Scale Cloud PlatformMohammad Saiful Islam, William Pourmajidi, Lei Zhang 0078, John Steinbacher, Tony Erwin, Andriy V. Miranskyy. 150-159 [doi]
• Smart Build Targets Batching Service at GoogleKaiyuan Wang, Daniel Rall, Greg Tener, Vijay Gullapalli, Xin Huang, Ahmed Gad. 160-169 [doi]
• Evolving Software to be ML-Driven Utilizing Real-World A/B Testing: Experiences, Insights, ChallengesPaul Luo Li, Xiaoyu Chai, Frederick Campbell, Jilong Liao, Neeraja Abburu, Minsuk Kang, Irina Niculescu, Greg Brake, Siddharth Patil, James Dooley, Brandon Paddock. 170-179 [doi]
• Towards Inclusive Software Engineering Through A/B Testing: A Case-Study at WindowsIrina Niculescu, Huibin Mary Hu, Christina Gee, Chewy Chong, Shivam Dubey, Paul Luo Li. 180-187 [doi]
• Industry-Scale IR-Based Bug Localization: A Perspective from FacebookVijayaraghavan Murali, Lee Gross, Rebecca Qian, Satish Chandra 0001. 188-197 [doi]
• NNStreamer: Efficient and Agile Development of On-Device AI SystemsMyungJoo Ham, Jijoong Moon, Geunsik Lim, Jaeyun Jung, Hyoungjoo Ahn, Wook Song, Sangjung Woo, Parichay Kapoor, Dongju Chae, Gichan Jang, Yongjoo Ahn, Jihoon Lee. 198-207 [doi]
• Case Study on Data-Driven Deployment of Program Analysis on an Open Tools StackAnton Ljungberg, David Åkerman, Emma Söderberg, Gustaf Lundh, Jon Sten, Luke Church. 208-217 [doi]
• Neural Knowledge Extraction From Cloud Service IncidentsManish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann 0001. 218-227 [doi]
• FIXME: Enhance Software Reliability with Hybrid Approaches in CloudJinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd. 228-237 [doi]
• Unveiling the Mystery of API Evolution in Deep Learning Frameworks: A Case Study of Tensorflow 2Zejun Zhang, Yanming Yang, Xin Xia 0001, David Lo 0001, Xiaoxue Ren, John C. Grundy. 238-247 [doi]
• On the Experiences of Adopting Automated Data Validation in an Industrial Machine Learning ProjectLucy Ellen Lwakatare, Ellinor Rånge, Ivica Crnkovic, Jan Bosch. 248-257 [doi]
• Anomalicious: Automated Detection of Anomalous and Potentially Malicious Commits on GitHubDanielle Gonzalez, Thomas Zimmermann 0001, Patrice Godefroid, Max Schaefer. 258-267 [doi]
• What It Would Take to Use Mutation Testing in Industry - A Study at FacebookMoritz Beller, Chu-Pan Wong, Johannes Bader, Andrew Scott, Mateusz Machalica, Satish Chandra 0001, Erik Meijer 0001. 268-277 [doi]
• Enterprise-Driven Open Source Software: A Case Study on Security AutomationFlorian Angermeir, Markus Voggenreiter, Fabiola Moyón, Daniel Méndez 0001. 278-287 [doi]
• Scalable Statistical Root Cause Analysis on App TelemetryVijayaraghavan Murali, Edward Yao, Umang Mathur 0001, Satish Chandra 0001. 288-297 [doi]
• An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and TencentJunxiao Han, ShuiGuang Deng, David Lo 0001, Chen Zhi, Jianwei Yin, Xin Xia 0001. 298-307 [doi]
• Identifying and Characterizing Silently-Evolved Methods in the Android APIPei Liu, Li Li 0029, Yichun Yan, Mattia Fazzini, John C. Grundy. 308-317 [doi]
• IntelliGen: Automatic Driver Synthesis for Fuzz TestingMingrui Zhang, Jianzhong Liu, Fuchen Ma, Huafeng Zhang, Yu Jiang 0001. 318-327 [doi]
• Industry Practice of Coverage-Guided Enterprise-Level DBMS FuzzingMingzhe Wang, Zhiyong Wu, Xinyi Xu, Jie Liang, Chijin Zhou, Huafeng Zhang, Yu Jiang 0001. 328-337 [doi]
• MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice SystemsDewei Liu, Chuan He, Xin Peng 0001, Fan Lin, Chenxi Zhang, Shengfang Gong, Ziang Li, Jiayu Ou, Zheshun Wu. 338-347 [doi]
• Refactoring Practices in the Context of Modern Code Review: An Industrial Case Study at XeroxEman Abdullah AlOmar, Hussein Alrubaye, Mohamed Wiem Mkaouer, Ali Ouni 0001, Marouane Kessentini. 348-357 [doi]
• How to Integrate with Real Cars - Minimizing Lead Time at VolkswagenJan Kantert, Michael Nolting. 358-359 [doi]
• Re-Imagining Performance Reviews: Automated Dashboards for Continuous Visibility of Engineers' PerformanceFatma Meawad. 360-361 [doi]
• Challenges and Gratitude: A Diary Study of Software Engineers Working From Home During Covid-19 PandemicJenna L. Butler, Sonia Jaffe. 362-363 [doi]
• The Daily Life of Software Engineers During the COVID-19 PandemicDaniel Russo 0002, Paul H. P. Hanel, Seraphina Altnickel, Niels van Berkel. 364-373 [doi]
• Automatically Authoring Regression Tests for Machine-Learning Based SystemsJunJie Zhu, Teng Long, Atif M. Memon. 374-383 [doi]