Christian Kästner

ORCID

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 126

Top Venues

Otto von Guericke University Magdeburg (PHD)

Education History

Otto von Guericke University Magdeburg

PHD

Publications

Katherine R. Maffey, Kyle Dotterrer, Jennifer Niemann, Iain Cruickshank, Grace A. Lewis, Christian Kästner
MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities. ICSE (NIER) (2023)
Mindy Tran, Yasemin Acar, Michel Cucker, William Enck, Alexandros Kapravelos, Christian Kästner, Laurie A. Williams
S3C2 Summit 2202-09: Industry Secure Suppy Chain Summit. CoRR (2023)
Chenyang Yang, Rishabh Rustogi, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs. CoRR (2023)
Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu
Capabilities for Better ML Engineering. SafeAI@AAAI (2023)
Chenyang Yang, Rishabh Rustogi, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs. EMNLP (Findings) (2023)
William Enck, Yasemin Acar, Michel Cukier, Alexandros Kapravelos, Christian Kästner, Laurie A. Williams
S3C2 Summit 2023-06: Government Secure Supply Chain Summit. CoRR (2023)
Wanqin Ma, Chenyang Yang, Christian Kästner
(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs. CoRR (2023)
Nadia Nahar, Haoran Zhang, Grace A. Lewis, Shurui Zhou, Christian Kästner
A Meta-Summary of Challenges in Building Products with ML Components - Collecting Experiences from 4758+ Practitioners. CAIN (2023)
Nadia Nahar, Haoran Zhang, Grace A. Lewis, Shurui Zhou, Christian Kästner
A Meta-Summary of Challenges in Building Products with ML Components - Collecting Experiences from 4758+ Practitioners. CoRR (2023)
Kattiana Constantino, Maurício R. de A. Souza, Shurui Zhou, Eduardo Figueiredo, Christian Kästner
Perceptions of open-source software developers on collaborations: An interview and survey study. J. Softw. Evol. Process. 35 (5) (2023)
Trevor Dunlap, Yasemin Acar, Michel Cucker, William Enck, Alexandros Kapravelos, Christian Kästner, Laurie A. Williams
S3C2 Summit 2023-02: Industry Secure Supply Chain Summit. CoRR (2023)
Katherine R. Maffey, Kyle Dotterrer, Jennifer Niemann, Iain Cruickshank, Grace A. Lewis, Christian Kästner
MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities. CoRR (2023)
Courtney Miller, Christian Kästner, Bogdan Vasilescu
"We Feel Like We're Winging It: " A Study on Navigating Open-Source Dependency Abandonment. ESEC/SIGSOFT FSE (2023)
Avinash Bhat, Austin Coursey, Grace Hu, Sixian Li, Nadia Nahar, Shurui Zhou, Christian Kästner, Jin L. C. Guo
Aspirations and Practice of ML Model Documentation: Moving the Needle with Nudging and Traceability. CHI (2023)
Nadia Nahar, Haoran Zhang, Grace A. Lewis, Shurui Zhou, Christian Kästner
A Dataset and Analysis of Open-Source Machine Learning Products. CoRR (2023)
Yuan Jiang, Christian Kästner, Shurui Zhou
Elevating Jupyter Notebook Maintenance Tooling by Identifying and Extracting Notebook Structures. ICSME (2022)
Courtney Miller, Sophie Cohen, Daniel Klug, Bogdan Vasilescu, Christian Kästner
"Did You Miss My Comment or What?" Understanding Toxicity in Open Source Discussions. ICSE (2022)
Kimberly Truong, Courtney Miller, Bogdan Vasilescu, Christian Kästner
The Unsolvable Problem or the Unheard Answer? A Dataset of 24, 669 Open-Source Software Conference Talks. MSR (2022)
Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner
Data Leakage in Notebooks: Static Detection and Better Processes. ASE (2022)
Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner
Data Leakage in Notebooks: Static Detection and Better Processes. CoRR (2022)
Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu
Capabilities for Better ML Engineering. CoRR (2022)
Huilian Sophie Qiu, Bogdan Vasilescu, Christian Kästner, Carolyn D. Egelman, Ciera Jaspan, Emerson R. Murphy-Hill
Detecting Interpersonal Conflict in Issues and Code Review: Cross Pollinating Open- and Closed-Source Approaches. ICSE-SEIS (2022)
Nadia Nahar, Shurui Zhou, Grace A. Lewis, Christian Kästner
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process. ICSE (2022)
Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kästner
On Debugging the Performance of Configurable Software Systems: Developer Needs and Tailored Tool Support. CoRR (2022)
Sven Apel, Christian Kästner, Eunsuk Kang
Feature Interactions on Steroids: On the Composition of ML Models. IEEE Softw. 39 (3) (2022)
Avinash Bhat, Austin Coursey, Grace Hu, Sixian Li, Nadia Nahar, Shurui Zhou, Christian Kästner, Jin L. C. Guo
Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability. CoRR (2022)
Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kästner
On Debugging the Performance of Configurable Software Systems: Developer Needs and Tailored Tool Support. ICSE (2022)
Gabriel Ferreira, Limin Jia, Joshua Sunshine, Christian Kästner
Containing Malicious Package Updates in npm with a Lightweight Permission System. CoRR (2021)
Chenyang Yang, Shurui Zhou, Jin L. C. Guo, Christian Kästner
Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code. ASE (2021)
Chris Bogart, Christian Kästner, James D. Herbsleb, Ferdian Thung
When and How to Make Breaking Changes: Policies and Practices in 18 Open Source Software Ecosystems. ACM Trans. Softw. Eng. Methodol. 30 (4) (2021)
Bo Shen, Wei Zhang, Christian Kästner, Haiyan Zhao, Zhao Wei, Guangtai Liang, Zhi Jin
SmartCommit: a graph-based interactive assistant for activity-oriented commits. ESEC/SIGSOFT FSE (2021)
Nadia Nahar, Shurui Zhou, Grace A. Lewis, Christian Kästner
More Engineering, No Silos: Rethinking Processes and Interfaces in Collaboration between Interdisciplinary Teams for Machine Learning Projects. CoRR (2021)
Chu-Pan Wong, Priscila Santiesteban, Christian Kästner, Claire Le Goues
VarFix: balancing edit expressiveness and search effectiveness in automated program repair. ESEC/SIGSOFT FSE (2021)
Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kästner
White-Box Analysis over Machine Learning: Modeling Performance of Configurable Systems. CoRR (2021)
Helen Dong, Shurui Zhou, Jin L. C. Guo, Christian Kästner
Splitting, Renaming, Removing: A Study of Common Cleaning Activities in Jupyter Notebooks. ASE Workshops (2021)
João P. Diniz, Chu-Pan Wong, Christian Kästner, Eduardo Figueiredo
Dissecting Strongly Subsuming Second-Order Mutants. ICST (2021)
Christian Kästner, Eunsuk Kang, Sven Apel
Feature Interactions on Steroids: On the Composition of ML Models. CoRR (2021)
Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kästner
White-Box Analysis over Machine Learning: Modeling Performance of Configurable Systems. ICSE (2021)
Gabriel Ferreira, Limin Jia, Joshua Sunshine, Christian Kästner
Containing Malicious Package Updates in npm with a Lightweight Permission System. ICSE (2021)
Shurui Zhou, Bogdan Vasilescu, Christian Kästner
How has forking changed in the last 20 years?: a study of hard forks on GitHub. ICSE (2020)
Christian Kästner, Eunsuk Kang
Teaching software engineering for AI-enabled systems. ICSE (SEET) (2020)
Naveen Raman, Minxuan Cao, Yulia Tsvetkov, Christian Kästner, Bogdan Vasilescu
Stress and burnout in open source: toward finding, understanding, and mitigating unhealthy interactions. ICSE (NIER) (2020)
Yang Ren, Gregory Gay, Christian Kästner, Pooyan Jamshidi
Understanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study. CoRR (2020)
Jens Meinicke, Juan Hoyos, Bogdan Vasilescu, Christian Kästner
Capture the Feature Flag: Detecting Feature Flags in Open-Source. MSR (2020)
Christian Kästner, Eunsuk Kang
Teaching Software Engineering for AI-Enabled Systems. CoRR (2020)
Kattiana Constantino, Shurui Zhou, Maurício R. de A. Souza, Eduardo Figueiredo, Christian Kästner
Understanding collaborative software development: an interview study. ICGSE (2020)
Shurui Zhou, Bogdan Vasilescu, Christian Kästner
How has forking changed in the last 20 years?: a study of hard forks on GitHub. ICSE (Companion Volume) (2020)
Larissa Rocha Soares, Ivan Machado, Eduardo Santana de Almeida, Christian Kästner, Sarah Nadi
A semi-automated iterative process for detecting feature interactions. SBES (2020)
Jens Meinicke, Chu-Pan Wong, Bogdan Vasilescu, Christian Kästner
Exploring differences and commonalities between feature flags and configuration options. ICSE (SEIP) (2020)
Flávio Medeiros, Márcio Ribeiro, Rohit Gheyi, Larissa Braz, Christian Kästner, Sven Apel, Kleber Santos
An Empirical Study on Configuration-Related Code Weaknesses. SBES (2020)
Miguel Velez, Pooyan Jamshidi, Florian Sattler, Norbert Siegmund, Sven Apel, Christian Kästner
ConfigCrusher: towards white-box performance analysis for configurable systems. Autom. Softw. Eng. 27 (3) (2020)
Chu-Pan Wong, Jens Meinicke, Leo Chen, João P. Diniz, Christian Kästner, Eduardo Figueiredo
Efficiently finding higher-order mutants. ESEC/SIGSOFT FSE (2020)
Cassandra Overney, Jens Meinicke, Christian Kästner, Bogdan Vasilescu
How to not get rich: an empirical study of donations in open source. ICSE (2020)
Norman Peitek, Janet Siegmund, Sven Apel, Christian Kästner, Chris Parnin, Anja Bethmann, Thomas Leich, Gunter Saake, André Brechmann
A Look into Programmers' Heads. IEEE Trans. Software Eng. 46 (4) (2020)
Chu-Pan Wong, Jens Meinicke, Leo Chen, João P. Diniz, Christian Kästner, Eduardo Figueiredo
Efficiently Finding Higher-Order Mutants. CoRR (2020)
Hemank Lamba, Asher Trockman, Daniel Armanios, Christian Kästner, Heather Miller, Bogdan Vasilescu
Heard it through the Gitvine: an empirical study of tool diffusion across the npm ecosystem. ESEC/SIGSOFT FSE (2020)
Jonathan Aldrich, David Garlan, Christian Kästner, Claire Le Goues, Anahita Mohseni-Kabir, Ivan Ruchkin, Selva Samuel, Bradley R. Schmerl, Christopher Steven Timperley, Manuela Veloso, Ian Voysey, Joydeep Biswas, Arjun Guha, Jarrett Holtz, Javier Cámara, Pooyan Jamshidi
Model-Based Adaptation for Robotics Software. IEEE Softw. 36 (2) (2019)
Gabriel Ferreira, Christian Kästner, Joshua Sunshine, Sven Apel, William L. Scherlis
Design Dimensions for Software Certification: A Grounded Analysis. CoRR (2019)
Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner
How Do Code Changes Evolve in Different Platforms? A Mining-based Investigation. CoRR (2019)
Sergiy S. Kolesnikov, Norbert Siegmund, Christian Kästner, Sven Apel
On the relation of control-flow and performance feature interactions: a case study. Empir. Softw. Eng. 24 (4) (2019)
Pooyan Jamshidi, Javier Cámara, Bradley R. Schmerl, Christian Kästner, David Garlan
Machine learning meets quantitative planning: enabling self-adaptation in autonomous robots. SEAMS@ICSE (2019)
Shurui Zhou, Bogdan Vasilescu, Christian Kästner
What the fork: a study of inefficient and efficient forking practices in social coding. ESEC/SIGSOFT FSE (2019)
Miguel Velez, Pooyan Jamshidi, Florian Sattler, Norbert Siegmund, Sven Apel, Christian Kästner
ConfigCrusher: White-Box Performance Analysis for Configurable Systems. CoRR (2019)
Hung Viet Nguyen, Hung Dang Phan, Christian Kästner, Tien N. Nguyen
Exploring output-based coverage for testing PHP web applications. Autom. Softw. Eng. 26 (1) (2019)
David Gray Widder, Michael Hilton, Christian Kästner, Bogdan Vasilescu
A conceptual replication of continuous integration pain points in the context of Travis CI. ESEC/SIGSOFT FSE (2019)
Pooyan Jamshidi, Javier Cámara, Bradley R. Schmerl, Christian Kästner, David Garlan
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Autonomous Robots. CoRR (2019)
Courtney Miller, David Gray Widder, Christian Kästner, Bogdan Vasilescu
Why Do People Give Up FLOSSing? A Study of Contributor Disengagement in Open Source. OSS (2019)
Luyao Ren, Shurui Zhou, Christian Kästner, Andrzej Wasowski
Identifying Redundancies in Fork-based Development. SANER (2019)
Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner
Understanding similarities and differences in software development practices across domains. ICGSE (2019)
Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner
How Do Code Changes Evolve in Different Platforms? A Mining-Based Investigation. ICSME (2019)
Flávio Medeiros, Gabriel Lima, Guilherme Amaral, Sven Apel, Christian Kästner, Márcio Ribeiro, Rohit Gheyi
An investigation of misunderstanding code patterns in C open-source software projects. Empir. Softw. Eng. 24 (4) (2019)
Sergiy S. Kolesnikov, Norbert Siegmund, Christian Kästner, Alexander Grebhahn, Sven Apel
Tradeoffs in modeling performance of highly configurable software systems. Softw. Syst. Model. 18 (3) (2019)
Kalil Anderson Garrett, Gabriel Ferreira, Limin Jia, Joshua Sunshine, Christian Kästner
Detecting suspicious package updates. ICSE (NIER) (2019)
Jens Meinicke, Chu-Pan Wong, Christian Kästner, Gunter Saake
Understanding Differences among Executions with Variational Traces. CoRR (2018)
Larissa Rocha Soares, Jens Meinicke, Sarah Nadi, Christian Kästner, Eduardo Santana de Almeida
VarXplorer: Lightweight Process for Dynamic Analysis of Feature Interactions. VaMoS (2018)
Chu-Pan Wong, Jens Meinicke, Lukas Lazarek, Christian Kästner
Faster Variational Execution with Transparent Bytecode Transformation. CoRR (2018)
Raman Goyal, Gabriel Ferreira, Christian Kästner, James D. Herbsleb
Identifying unusual commits on GitHub. J. Softw. Evol. Process. 30 (1) (2018)
Flávio Medeiros, Márcio Ribeiro, Rohit Gheyi, Sven Apel, Christian Kästner, Bruno Ferreira, Luiz Carvalho, Baldoino Fonseca
Discipline Matters: Refactoring of Preprocessor Directives in the #ifdef Hell. IEEE Trans. Software Eng. 44 (5) (2018)
Olaf Leßenich, Janet Siegmund, Sven Apel, Christian Kästner, Claus Hunsen
Indicators for merge conflicts in the wild: survey and empirical study. Autom. Softw. Eng. 25 (2) (2018)
Allan Mori, Gustavo Vale, Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Elder Cirilo, Pooyan Jamshidi, Christian Kästner
Evaluating domain-specific metric thresholds: an empirical study. TechDebt@ICSE (2018)
Chu-Pan Wong, Jens Meinicke, Lukas Lazarek, Christian Kästner
Faster variational execution with transparent bytecode transformation. Proc. ACM Program. Lang. 2 (OOPSLA) (2018)
Alexander von Rhein, Jörg Liebig, Andreas Janker, Christian Kästner, Sven Apel
Variability-Aware Static Analysis at Scale: An Empirical Study. ACM Trans. Softw. Eng. Methodol. 27 (4) (2018)
Asher Trockman, Shurui Zhou, Christian Kästner, Bogdan Vasilescu
ecosystem. ICSE (2018)
Shurui Zhou, Stefan Stanciulescu, Olaf Leßenich, Yingfei Xiong, Andrzej Wasowski, Christian Kästner
Identifying features in forks. ICSE (2018)
Norman Peitek, Janet Siegmund, Chris Parnin, Sven Apel, Johannes C. Hofmeister, Christian Kästner, Andrew Begel, Anja Bethmann, André Brechmann
Neural Efficiency of Top-Down Program Comprehension. Software Engineering (2018)
David Gray Widder, Michael Hilton, Christian Kästner, Bogdan Vasilescu
I'm leaving you, Travis: a continuous integration breakup story. MSR (2018)
Max Lillack, Christian Kästner, Eric Bodden
Tracking Load-Time Configuration Options. IEEE Trans. Software Eng. 44 (12) (2018)
Luyao Ren, Shurui Zhou, Christian Kästner
Forks insight: providing an overview of GitHub forks. ICSE (Companion Volume) (2018)
Chu-Pan Wong, Jens Meinicke, Christian Kästner
Beyond testing configurable systems: applying variational execution to automatic program repair and higher order mutation testing. ESEC/SIGSOFT FSE (2018)
Larissa Rocha Soares, Jens Meinicke, Sarah Nadi, Christian Kästner, Eduardo Santana de Almeida
Exploring feature interactions without specifications: a controlled experiment. GPCE (2018)
Asher Trockman, Keenen Cates, Mark Mozina, Tuan Nguyen, Christian Kästner, Bogdan Vasilescu
"Automatically assessing code understandability" reanalyzed: combined metrics matter. MSR (2018)
Pooyan Jamshidi, Miguel Velez, Christian Kästner, Norbert Siegmund
Learning to sample: exploiting similarities across environments to learn performance models for configurable systems. ESEC/SIGSOFT FSE (2018)
Christian Kästner
Differential Testing for Variational Analyses: Experience from Developing KConfigReader. CoRR (2017)
Janet Siegmund, Norman Peitek, Chris Parnin, Sven Apel, Johannes C. Hofmeister, Christian Kästner, Andrew Begel, Anja Bethmann, André Brechmann
Measuring neural efficiency of program comprehension. ESEC/SIGSOFT FSE (2017)
Sergiy S. Kolesnikov, Norbert Siegmund, Christian Kästner, Sven Apel
On the Relation of External and Internal Feature Interactions: A Case Study. CoRR (2017)
Meng Meng, Jens Meinicke, Chu-Pan Wong, Eric Walkingshaw, Christian Kästner
A choice of variational stacks: exploring variational data structures. VaMoS (2017)
Jafar M. Al-Kofahi, Suresh C. Kothari, Christian Kästner
Four languages and lots of macros: analyzing autotools build systems. GPCE (2017)
Pooyan Jamshidi, Norbert Siegmund, Miguel Velez, Christian Kästner, Akshay Patel, Yuvraj Agarwal
Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis. CoRR (2017)
Pooyan Jamshidi, Norbert Siegmund, Miguel Velez, Christian Kästner, Akshay Patel, Yuvraj Agarwal
Transfer learning for performance modeling of configurable systems: an exploratory analysis. ASE (2017)
Pooyan Jamshidi, Miguel Velez, Christian Kästner, Norbert Siegmund, Prasad Kawthekar
Transfer Learning for Improving Model Predictions in Highly Configurable Software. SEAMS@ICSE (2017)

Christian Kästner.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Christian Kästner