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ORCIDChristian Kästner
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- affiliation: Carnegie Mellon University
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2020 – today
- 2024
[c162]Wanqin Ma
, Chenyang Yang, Christian Kästner:
(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs. CAIN 2024: 166-171- [c161]Nadia Nahar, Jenny Rowlett, Matthew Bray, Zahra Abba Omar, Xenophon Papademetris, Alka Menon, Christian Kästner:
Regulating Explainability in Machine Learning Applications - Observations from a Policy Design Experiment. FAccT 2024: 2101-2112 - [c160]Lina Boughton, Courtney Miller, Yasemin Acar, Dominik Wermke, Christian Kästner:
Decomposing and Measuring Trust in Open-Source Software Supply Chains. NIER@ICSE 2024: 57-61 - [i35]Greg Tystahl, Yasemin Acar, Michel Cukier, William Enck, Christian Kästner, Alexandros Kapravelos, Dominik Wermke, Laurie A. Williams:
S3C2 Summit 2024-03: Industry Secure Supply Chain Summit. CoRR abs/2405.08762 (2024) - [i34]Nusrat Zahan, Yasemin Acar, Michel Cukier, William Enck, Christian Kästner, Alexandros Kapravelos, Dominik Wermke, Laurie A. Williams:
S3C2 Summit 2023-11: Industry Secure Supply Chain Summit. CoRR abs/2408.16529 (2024) - 2023
- [j42]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) - [c159]Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu:
Capabilities for Better ML Engineering. SafeAI@AAAI 2023 - [c158]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: 171-183 - [c157]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: 749:1-749:17 - [c156]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: 13504-13519 - [c155]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: 31-36 - [c154]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: 1281-1293 - [i33]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 abs/2303.01998 (2023) - [i32]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 abs/2304.00078 (2023) - [i31]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 abs/2307.15642 (2023) - [i30]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 abs/2307.16557 (2023) - [i29]Nadia Nahar, Haoran Zhang, Grace A. Lewis, Shurui Zhou, Christian Kästner:
A Dataset and Analysis of Open-Source Machine Learning Products. CoRR abs/2308.04328 (2023) - [i28]William Enck, Yasemin Acar, Michel Cukier, Alexandros Kapravelos, Christian Kästner, Laurie A. Williams:
S3C2 Summit 2023-06: Government Secure Supply Chain Summit. CoRR abs/2308.06850 (2023) - [i27]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 abs/2310.09668 (2023) - [i26]Wanqin Ma, Chenyang Yang, Christian Kästner:
(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs. CoRR abs/2311.11123 (2023) - 2022
- [j41]Sven Apel, Christian Kästner, Eunsuk Kang:
Feature Interactions on Steroids: On the Composition of ML Models. IEEE Softw. 39(3): 120-124 (2022) - [c153]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: 41-55 - [c152]Nadia Nahar, Shurui Zhou, Grace A. Lewis, Christian Kästner:
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process. ICSE 2022: 413-425 - [c151]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: 710-722 - [c150]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: 1571-1583 - [c149]Yuan Jiang, Christian Kästner, Shurui Zhou:
Elevating Jupyter Notebook Maintenance Tooling by Identifying and Extracting Notebook Structures. ICSME 2022: 399-403 - [c148]Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner:
Data Leakage in Notebooks: Static Detection and Better Processes. ASE 2022: 30:1-30:12 - [c147]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: 348-352 - [i25]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 abs/2203.10356 (2022) - [i24]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 abs/2204.06425 (2022) - [i23]Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner:
Data Leakage in Notebooks: Static Detection and Better Processes. CoRR abs/2209.03345 (2022) - [i22]Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu:
Capabilities for Better ML Engineering. CoRR abs/2211.06409 (2022) - 2021
- [j40]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): 42:1-42:56 (2021) - [c146]Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kästner:
White-Box Analysis over Machine Learning: Modeling Performance of Configurable Systems. ICSE 2021: 1072-1084 - [c145]Gabriel Ferreira, Limin Jia, Joshua Sunshine, Christian Kästner:
Containing Malicious Package Updates in npm with a Lightweight Permission System. ICSE 2021: 1334-1346 - [c144]João Paulo Diniz, Chu-Pan Wong, Christian Kästner, Eduardo Figueiredo:
Dissecting Strongly Subsuming Second-Order Mutants. ICST 2021: 171-181 - [c143]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: 114-119 - [c142]Chenyang Yang, Shurui Zhou, Jin L. C. Guo, Christian Kästner:
Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code. ASE 2021: 304-316 - [c141]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: 354-366 - [c140]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: 379-390 - [i21]Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kästner:
White-Box Analysis over Machine Learning: Modeling Performance of Configurable Systems. CoRR abs/2101.05362 (2021) - [i20]Gabriel Ferreira, Limin Jia, Joshua Sunshine, Christian Kästner:
Containing Malicious Package Updates in npm with a Lightweight Permission System. CoRR abs/2103.05769 (2021) - [i19]Christian Kästner, Eunsuk Kang, Sven Apel:
Feature Interactions on Steroids: On the Composition of ML Models. CoRR abs/2105.06449 (2021) - [i18]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 abs/2110.10234 (2021) - 2020
- [j39]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): 265-300 (2020) - [j38]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): 442-462 (2020) - [c139]Kattiana Constantino, Shurui Zhou, Maurício R. de A. Souza, Eduardo Figueiredo, Christian Kästner:
Understanding collaborative software development: an interview study. ICGSE 2020: 55-65 - [c138]Christian Kästner, Eunsuk Kang:
Teaching software engineering for AI-enabled systems. ICSE (SEET) 2020: 45-48 - [c137]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: 57-60 - [c136]Jens Meinicke, Chu-Pan Wong, Bogdan Vasilescu, Christian Kästner:
Exploring differences and commonalities between feature flags and configuration options. ICSE (SEIP) 2020: 233-242 - [c135]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: 268-269 - [c134]Shurui Zhou, Bogdan Vasilescu, Christian Kästner:
How has forking changed in the last 20 years?: a study of hard forks on GitHub. ICSE 2020: 445-456 - [c133]Cassandra Overney, Jens Meinicke, Christian Kästner, Bogdan Vasilescu:
How to not get rich: an empirical study of donations in open source. ICSE 2020: 1209-1221 - [c132]Jens Meinicke, Juan Hoyos, Bogdan Vasilescu, Christian Kästner:
Capture the Feature Flag: Detecting Feature Flags in Open-Source. MSR 2020: 169-173 - [c131]Flávio Medeiros, Márcio Ribeiro, Rohit Gheyi, Larissa Braz, Christian Kästner, Sven Apel, Kleber Santos:
An Empirical Study on Configuration-Related Code Weaknesses. SBES 2020: 193-202 - [c130]Larissa Rocha Soares, Ivan Machado, Eduardo Santana de Almeida, Christian Kästner, Sarah Nadi:
A semi-automated iterative process for detecting feature interactions. SBES 2020: 778-787 - [c129]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: 505-517 - [c128]Chu-Pan Wong, Jens Meinicke, Leo Chen, João Paulo Diniz, Christian Kästner, Eduardo Figueiredo:
Efficiently finding higher-order mutants. ESEC/SIGSOFT FSE 2020: 1165-1177 - [i17]Christian Kästner, Eunsuk Kang:
Teaching Software Engineering for AI-Enabled Systems. CoRR abs/2001.06691 (2020) - [i16]Chu-Pan Wong, Jens Meinicke, Leo Chen, João Paulo Diniz, Christian Kästner, Eduardo Figueiredo:
Efficiently Finding Higher-Order Mutants. CoRR abs/2004.02000 (2020) - [i15]Yang Ren, Gregory Gay, Christian Kästner, Pooyan Jamshidi:
Understanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study. CoRR abs/2005.06091 (2020)
2010 – 2019
- 2019
- [j37]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): 59-85 (2019) - [j36]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): 1693-1726 (2019) - [j35]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): 2410-2437 (2019) - [j34]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): 83-90 (2019) - [j33]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): 2265-2283 (2019) - [c127]Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner:
Understanding similarities and differences in software development practices across domains. ICGSE 2019: 74-84 - [c126]Kalil Anderson Garrett, Gabriel Ferreira, Limin Jia, Joshua Sunshine, Christian Kästner:
Detecting suspicious package updates. ICSE (NIER) 2019: 13-16 - [c125]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: 39-50 - [c124]Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner:
How Do Code Changes Evolve in Different Platforms? A Mining-Based Investigation. ICSME 2019: 218-222 - [c123]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: 116-129 - [c122]Shurui Zhou, Bogdan Vasilescu, Christian Kästner:
What the fork: a study of inefficient and efficient forking practices in social coding. ESEC/SIGSOFT FSE 2019: 350-361 - [c121]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: 647-658 - [c120]Luyao Ren, Shurui Zhou, Christian Kästner, Andrzej Wasowski:
Identifying Redundancies in Fork-based Development. SANER 2019: 230-241 - [i14]Pooyan Jamshidi, Javier Cámara, Bradley R. Schmerl, Christian Kästner, David Garlan:
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Autonomous Robots. CoRR abs/1903.03920 (2019) - [i13]Miguel Velez, Pooyan Jamshidi, Florian Sattler, Norbert Siegmund, Sven Apel, Christian Kästner:
ConfigCrusher: White-Box Performance Analysis for Configurable Systems. CoRR abs/1905.02066 (2019) - [i12]Gabriel Ferreira, Christian Kästner, Joshua Sunshine, Sven Apel, William L. Scherlis:
Design Dimensions for Software Certification: A Grounded Analysis. CoRR abs/1905.09760 (2019) - [i11]Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner:
How Do Code Changes Evolve in Different Platforms? A Mining-based Investigation. CoRR abs/1910.11433 (2019) - 2018
- [j32]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): 279-313 (2018) - [j31]Chu-Pan Wong, Jens Meinicke, Lukas Lazarek, Christian Kästner:
Faster variational execution with transparent bytecode transformation. Proc. ACM Program. Lang. 2(OOPSLA): 117:1-117:30 (2018) - [j30]Raman Goyal, Gabriel Ferreira, Christian Kästner, James D. Herbsleb:
Identifying unusual commits on GitHub. J. Softw. Evol. Process. 30(1) (2018) - [j29]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): 18:1-18:33 (2018) - [j28]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): 453-469 (2018) - [j27]Max Lillack, Christian Kästner, Eric Bodden:
Tracking Load-Time Configuration Options. IEEE Trans. Software Eng. 44(12): 1269-1291 (2018) - [c119]Larissa Rocha Soares, Jens Meinicke, Sarah Nadi, Christian Kästner, Eduardo Santana de Almeida:
Exploring feature interactions without specifications: a controlled experiment. GPCE 2018: 40-52 - [c118]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: 41-50 - [c117]Shurui Zhou, Stefan Stanciulescu, Olaf Leßenich, Yingfei Xiong, Andrzej Wasowski, Christian Kästner:
Identifying features in forks. ICSE 2018: 105-116 - [c116]Luyao Ren, Shurui Zhou, Christian Kästner:
Forks insight: providing an overview of GitHub forks. ICSE (Companion Volume) 2018: 179-180 - [c115]Asher Trockman, Shurui Zhou, Christian Kästner, Bogdan Vasilescu:
Adding sparkle to social coding: an empirical study of repository badges in the npm ecosystem. ICSE 2018: 511-522 - [c114]David Gray Widder, Michael Hilton, Christian Kästner, Bogdan Vasilescu:
I'm leaving you, Travis: a continuous integration breakup story. MSR 2018: 165-169 - [c113]Asher Trockman, Keenen Cates, Mark Mozina, Tuan Nguyen, Christian Kästner, Bogdan Vasilescu:
"Automatically assessing code understandability" reanalyzed: combined metrics matter. MSR 2018: 314-318 - [c112]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: 151-152 - [c111]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: 71-82 - [c110]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: 749-753 - [c109]Larissa Rocha Soares, Jens Meinicke, Sarah Nadi, Christian Kästner, Eduardo Santana de Almeida:
VarXplorer: Lightweight Process for Dynamic Analysis of Feature Interactions. VaMoS 2018: 59-66 - [e5]Marianne Huchard, Christian Kästner, Gordon Fraser:
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, ASE 2018, Montpellier, France, September 3-7, 2018. ACM 2018 [contents] - [i10]Jens Meinicke, Chu-Pan Wong, Christian Kästner, Gunter Saake:
Understanding Differences among Executions with Variational Traces. CoRR abs/1807.03837 (2018) - [i9]Chu-Pan Wong, Jens Meinicke, Lukas Lazarek, Christian Kästner:
Faster Variational Execution with Transparent Bytecode Transformation. CoRR abs/1809.04193 (2018) - 2017
- [c108]Jafar M. Al-Kofahi, Suresh C. Kothari, Christian Kästner:
Four languages and lots of macros: analyzing autotools build systems. GPCE 2017: 176-186 - [c107]Pooyan Jamshidi, Miguel Velez, Christian Kästner, Norbert Siegmund, Prasad Kawthekar:
Transfer Learning for Improving Model Predictions in Highly Configurable Software. SEAMS@ICSE 2017: 31-41 - [c106]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: 497-508 - [c105]Olaf Leßenich, Sven Apel, Christian Kästner, Georg Seibt, Janet Siegmund:
Renaming and shifted code in structured merging: looking ahead for precision and performance. ASE 2017: 543-553 - [c104]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: 140-150 - [c103]Meng Meng, Jens Meinicke, Chu-Pan Wong, Eric Walkingshaw, Christian Kästner:
A choice of variational stacks: exploring variational data structures. VaMoS 2017: 28-35 - [i8]Pooyan Jamshidi, Miguel Velez, Christian Kästner, Norbert Siegmund, Prasad Kawthekar:
Transfer Learning for Improving Model Predictions in Highly Configurable Software. CoRR abs/1704.00234 (2017) - [i7]Christian Kästner:
Differential Testing for Variational Analyses: Experience from Developing KConfigReader. CoRR abs/1706.09357 (2017) - [i6]Pooyan Jamshidi, Norbert Siegmund, Miguel Velez, Christian Kästner, Akshay Patel, Yuvraj Agarwal:
Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis. CoRR abs/1709.02280 (2017) - [i5]Sergiy S. Kolesnikov, Norbert Siegmund, Christian Kästner, Sven Apel:
On the Relation of External and Internal Feature Interactions: A Case Study. CoRR abs/1712.07440 (2017) - 2016
- [j26]Claus Hunsen, Bo Zhang, Janet Siegmund, Christian Kästner, Olaf Leßenich, Martin Becker, Sven Apel:
Preprocessor-based variability in open-source and industrial software systems: An empirical study. Empir. Softw. Eng. 21(2): 449-482 (2016) - [j25]James D. Herbsleb, Christian Kästner, Christopher Bogart:
Intelligently Transparent Software Ecosystems. IEEE Softw. 33(1): 89-96 (2016) - [c102]