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ORCID43rd ICSE (SEIP) 2021: Madrid, Spain
- 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, ICSE (SEIP) 2021, Madrid, Spain, May 25-28, 2021. IEEE 2021, ISBN 978-1-6654-3869-8
- Geunsik Lim
, MyungJoo Ham, Ji Joong Moon, Wook Song:
LightSys: Lightweight and Efficient CI System for Improving Integration Speed of Software. 1-10 - Nishrith Saini, Ricardo Britto:
Using Machine Intelligence to Prioritise Code Review Requests. 11-20 - Charles Weir, Ingolf Becker, Lynne Blair:
A Passion for Security: Intervening to Help Software Developers. 21-30 - Batyr Nuryyev, Sarah Nadi, Nazim Uddin Bhuiyan, Leonardo Banderali:
Challenges of Implementing Software Variability in Eclipse OMR: An Interview Study. 31-40 - Paige Rodeghero, Thomas Zimmermann, Brian Houck, Denae Ford:
Please Turn Your Cameras on: Remote Onboarding of Software Developers During a Pandemic. 41-50 - Samuel Idowu, Daniel Strüber, Thorsten Berger:
Asset Management in Machine Learning: A Survey. 51-60 - Nan Yang, Pieter J. L. Cuijpers, Ramon R. H. Schiffelers, Johan Lukkien, Alexander Serebrenik:
An Interview Study of how Developers use Execution Logs in Embedded Software Engineering. 61-70 - Henk Grent, Aleksei Akimov, Maurício Aniche:
Automatically Identifying Parameter Constraints in Complex Web APIs: A Case Study at Adyen. 71-80 - Casper Schröder, Adriaan van der Feltz, Annibale Panichella, Maurício Aniche:
Search-Based Software Re-Modularization: A Case Study at Adyen. 81-90 - Patrick Franz, Thorsten Berger, Ibrahim Fayaz, Sarah Nadi, Evgeny Groshev:
ConfigFix: Interactive Configuration Conflict Resolution for the Linux Kernel. 91-100 - Yujin Huang, Han Hu, Chunyang Chen:
Robustness of on-Device Models: Adversarial Attack to Deep Learning Models on Android Apps. 101-110 - Yunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, Zhong Su:
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis. 111-120 - Jason Lefever, Yuanfang Cai, Humberto Cervantes, Rick Kazman, Hongzhou Fang:
On the Lack of Consensus Among Technical Debt Detection Tools. 121-130 - Gareth Ari Aye, Seohyun Kim, Hongyu Li:
Learning Autocompletion from Real-World Datasets. 131-139 - John Ahlgren, Maria Eugenia Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Maria Lomeli, Erik Meijer, Silvia Sapora, Justin Spahr-Summers:
Testing Web Enabled Simulation at Scale Using Metamorphic Testing. 140-149 - Mohammad Saiful Islam, William Pourmajidi, Lei Zhang, John Steinbacher, Tony Erwin, Andriy V. Miranskyy:
Anomaly Detection in a Large-Scale Cloud Platform. 150-159 - Kaiyuan Wang, Daniel Rall, Greg Tener, Vijay Gullapalli, Xin Huang, Ahmed Gad:
Smart Build Targets Batching Service at Google. 160-169 - Paul Luo Li, Xiaoyu Chai, Frederick Campbell, Jilong Liao, Neeraja Abburu, Minsuk Kang, Irina Niculescu, Greg Brake, Siddharth Patil, James Dooley, Brandon Paddock:
Evolving Software to be ML-Driven Utilizing Real-World A/B Testing: Experiences, Insights, Challenges. 170-179 - Irina Niculescu, Huibin Mary Hu, Christina Gee, Chewy Chong, Shivam Dubey, Paul Luo Li:
Towards Inclusive Software Engineering Through A/B Testing: A Case-Study at Windows. 180-187 - Vijayaraghavan Murali, Lee Gross, Rebecca Qian, Satish Chandra:
Industry-Scale IR-Based Bug Localization: A Perspective from Facebook. 188-197 - MyungJoo Ham, Ji Joong Moon, Geunsik Lim, Jaeyun Jung, Hyoungjoo Ahn, Wook Song, Sangjung Woo, Parichay Kapoor, Dongju Chae, Gichan Jang, Yongjoo Ahn, Jihoon Lee:
NNStreamer: Efficient and Agile Development of On-Device AI Systems. 198-207 - Anton Ljungberg, David Åkerman, Emma Söderberg, Gustaf Lundh, Jon Sten, Luke Church:
Case Study on Data-Driven Deployment of Program Analysis on an Open Tools Stack. 208-217 - Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Thomas Zimmermann:
Neural Knowledge Extraction From Cloud Service Incidents. 218-227 - Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd:
FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud. 228-237 - Zejun Zhang, Yanming Yang, Xin Xia, David Lo, Xiaoxue Ren, John C. Grundy:
Unveiling the Mystery of API Evolution in Deep Learning Frameworks: A Case Study of Tensorflow 2. 238-247 - Lucy Ellen Lwakatare, Ellinor Rånge, Ivica Crnkovic, Jan Bosch:
On the Experiences of Adopting Automated Data Validation in an Industrial Machine Learning Project. 248-257 - Danielle Gonzalez, Thomas Zimmermann, Patrice Godefroid, Max Schaefer:
Anomalicious: Automated Detection of Anomalous and Potentially Malicious Commits on GitHub. 258-267 - Moritz Beller, Chu-Pan Wong, Johannes Bader, Andrew Scott, Mateusz Machalica, Satish Chandra, Erik Meijer:
What It Would Take to Use Mutation Testing in Industry - A Study at Facebook. 268-277 - Florian Angermeir, Markus Voggenreiter, Fabiola Moyón, Daniel Méndez:
Enterprise-Driven Open Source Software: A Case Study on Security Automation. 278-287 - Vijayaraghavan Murali, Edward Yao, Umang Mathur, Satish Chandra:
Scalable Statistical Root Cause Analysis on App Telemetry. 288-297 - Junxiao Han, Shuiguang Deng, David Lo, Chen Zhi, Jianwei Yin, Xin Xia:
An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent. 298-307 - Pei Liu, Li Li, Yichun Yan, Mattia Fazzini, John C. Grundy:
Identifying and Characterizing Silently-Evolved Methods in the Android API. 308-317 - Mingrui Zhang, Jianzhong Liu, Fuchen Ma, Huafeng Zhang, Yu Jiang:
IntelliGen: Automatic Driver Synthesis for Fuzz Testing. 318-327 - Mingzhe Wang, Zhiyong Wu, Xinyi Xu, Jie Liang, Chijin Zhou, Huafeng Zhang, Yu Jiang:
Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing. 328-337 - Dewei Liu, Chuan He, Xin Peng, Fan Lin, Chenxi Zhang, Shengfang Gong, Ziang Li, Jiayu Ou, Zheshun Wu:
MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems. 338-347 - Eman Abdullah AlOmar, Hussein Alrubaye, Mohamed Wiem Mkaouer, Ali Ouni, Marouane Kessentini:
Refactoring Practices in the Context of Modern Code Review: An Industrial Case Study at Xerox. 348-357 - Jan Kantert, Michael Nolting:
How to Integrate with Real Cars - Minimizing Lead Time at Volkswagen. 358-359 - Fatma Meawad:
Re-Imagining Performance Reviews: Automated Dashboards for Continuous Visibility of Engineers' Performance. 360-361 - Jenna L. Butler, Sonia Jaffe:
Challenges and Gratitude: A Diary Study of Software Engineers Working From Home During Covid-19 Pandemic. 362-363 - Daniel Russo, Paul H. P. Hanel, Seraphina Altnickel, Niels van Berkel:
The Daily Life of Software Engineers During the COVID-19 Pandemic. 364-373 - Junjie Zhu, Teng Long, Atif M. Memon:
Automatically Authoring Regression Tests for Machine-Learning Based Systems. 374-383
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