Name
Affiliation
Papers
CHRISTIAN KÄSTNER
Philipps Universität Marburg, Germany
153
Collaborators
Citations 
PageRank 
207
3591
135.92
Referers 
Referees 
References 
3190
3116
3414
Search Limit
1001000
Title
Citations
PageRank
Year
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process10.362022
On Debugging the Performance of Configurable Software Systems: Developer Needs and Tailored Tool Support00.342022
The Unsolvable Problem or the Unheard Answer? A Dataset of 24,669 Open-Source Software Conference Talks00.342022
VarFix: balancing edit expressiveness and search effectiveness in automated program repair00.342021
Containing Malicious Package Updates in npm with a Lightweight Permission System00.342021
White-Box Analysis over Machine Learning: Modeling Performance of Configurable Systems10.342021
When and How to Make Breaking Changes: Policies and Practices in 18 Open Source Software Ecosystems20.362021
A semi-automated iterative process for detecting feature interactions.00.342020
Configcrusher: Towards White-Box Performance Analysis For Configurable Systems10.342020
An Empirical Study on Configuration-Related Code Weaknesses.00.342020
How has forking changed in the last 20 years?: a study of hard forks on GitHub00.342020
Teaching software engineering for AI-enabled systems10.432020
Exploring differences and commonalities between feature flags and configuration options10.352020
How to not get rich: an empirical study of donations in open source30.412020
Understanding collaborative software development: an interview study20.472020
Capture the Feature Flag: Detecting Feature Flags in Open-Source00.342020
On the relation of control-flow and performance feature interactions: a case study00.342019
An investigation of misunderstanding code patterns in C open-source software projects00.342019
Model-Based Adaptation for Robotics Software.40.392019
Exploring output-based coverage for testing PHP web applications00.342019
A conceptual replication of continuous integration pain points in the context of Travis CI.70.442019
Identifying Redundancies in Fork-based Development30.362019
Tradeoffs in modeling performance of highly configurable software systems20.362019
Detecting suspicious package updates00.342019
VarXplorer: Lightweight Process for Dynamic Analysis of Feature Interactions.20.352018
Discipline Matters: Refactoring of Preprocessor Directives in the #ifdef Hell.60.442018
Exploring feature interactions without specifications: a controlled experiment.00.342018
Identifying unusual commits on GitHub.40.452018
Learning to sample: exploiting similarities across environments to learn performance models for configurable systems.110.522018
Indicators for merge conflicts in the wild: survey and empirical study.20.362018
Beyond testing configurable systems: applying variational execution to automatic program repair and higher order mutation testing.30.372018
Adding sparkle to social coding: an empirical study of repository badges in the npm ecosystem.90.472018
I'm leaving you, Travis: a continuous integration breakup story.10.352018
Faster variational execution with transparent bytecode transformation50.422018
Forks insight: providing an overview of GitHub forks.00.342018
Transfer Learning for Improving Model Predictions in Highly Configurable Software.160.582017
Four languages and lots of macros: analyzing autotools build systems.00.342017
Renaming and shifted code in structured merging: looking ahead for precision and performance.20.392017
Measuring neural efficiency of program comprehension150.652017
Transfer learning for performance modeling of configurable systems: an exploratory analysis.180.572017
On the Relation of External and Internal Feature Interactions: A Case Study.00.342017
Do #ifdefs Influence the Occurrence of Vulnerabilities? An Empirical Study of the Linux Kernel.70.432016
Visualizing the variational callgraph of the Linux kernel: an approach for reasoning about dependencies [poster].00.342016
Inter-app communication in Android: developer challenges.70.472016
Intelligently Transparent Software Ecosystems00.342016
Preprocessor-based variability in open-source and industrial software systems: An empirical study280.752016
How to break an API: cost negotiation and community values in three software ecosystems.451.282016
A Comparison of 10 Sampling Algorithms for Configurable Systems.380.882016
Characterizing complexity of highly-configurable systems with variational call graphs: analyzing configuration options interactions complexity in function calls30.432015
When it breaks, it breaks: How ecosystem developers reason about the stability of dependencies90.572015
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