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Sebastian Proksch 0001
Person information
- affiliation: TU Delft, The Netherlands
Other persons with the same name
- Sebastian Proksch 0002 — Eberhard Karls University Tübingen, Tübingen, Germany
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2020 – today
- 2024
- [j11]Mehdi Keshani
, Georgios Gousios, Sebastian Proksch:
Frankenstein: fast and lightweight call graph generation for software builds. Empir. Softw. Eng. 29(1): 1 (2024) - [j10]Wenhan Zhu
What is an app store? The software engineering perspective. Empir. Softw. Eng. 29(1): 35 (2024) - [j9]Mehdi Keshani
AROMA: Automatic Reproduction of Maven Artifacts. Proc. ACM Softw. Eng. 1(FSE): 836-858 (2024) - [c25]Amir M. Mir
On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study. MSR 2024: 457-468 - [i4]Wenhan Zhu, Sebastian Proksch, Daniel M. Germán, Michael W. Godfrey, Li Li, Shane McIntosh:
What Is an App Store? The Software Engineering Perspective. CoRR abs/2401.04287 (2024) - [i3]Amir M. Mir, Mehdi Keshani, Sebastian Proksch:
On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study. CoRR abs/2402.07294 (2024) - 2023
- [j8]Adelina Ciurumelea
Completing Function Documentation Comments Using Structural Information. Empir. Softw. Eng. 28(4): 86 (2023) - [j7]Mehdi Keshani
On the relation of method popularity to breaking changes in the Maven ecosystem. J. Syst. Softw. 203: 111738 (2023) - [c24]Amir M. Mir
On the Effect of Transitivity and Granularity on Vulnerability Propagation in the Maven Ecosystem. SANER 2023: 201-211 - [i2]Amir M. Mir, Mehdi Keshani, Sebastian Proksch:
On the Effect of Transitivity and Granularity on Vulnerability Propagation in the Maven Ecosystem. CoRR abs/2301.07972 (2023) - 2022
- [c23]Amir M. Mir
Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python. ICSE 2022: 2241-2252 - 2021
- [i1]Amir M. Mir, Evaldas Latoskinas, Sebastian Proksch, Georgios Gousios:
Type4Py: Deep Similarity Learning-Based Type Inference for Python. CoRR abs/2101.04470 (2021) - 2020
- [j6]Carmine Vassallo
How developers engage with static analysis tools in different contexts. Empir. Softw. Eng. 25(2): 1419-1457 (2020) - [j5]Carmine Vassallo
Every build you break: developer-oriented assistance for build failure resolution. Empir. Softw. Eng. 25(3): 2218-2257 (2020) - [c22]Carmine Vassallo
Configuration smells in continuous delivery pipelines: a linter and a six-month study on GitLab. ESEC/SIGSOFT FSE 2020: 327-337 - [c21]Adelina Ciurumelea, Sebastian Proksch, Harald C. Gall
Suggesting Comment Completions for Python using Neural Language Models. SANER 2020: 456-467 - [d3]Carmine Vassallo
Replication Package for "Configuration Smells in Continuous Delivery Pipelines: A Linter and A Six-Month Study on GitLab". Version v1.0. Zenodo, 2020 [all versions] - [d2]Carmine Vassallo
Replication Package for "Configuration Smells in Continuous Delivery Pipelines: A Linter and A Six-Month Study on GitLab". Version v2.0. Zenodo, 2020 [all versions]
2010 – 2019
- 2019
- [j4]Carol V. Alexandru
Redundancy-free analysis of multi-revision software artifacts. Empir. Softw. Eng. 24(1): 332-380 (2019) - [j3]Moritz Beller
Developer Testing in the IDE: Patterns, Beliefs, and Behavior. IEEE Trans. Software Eng. 45(3): 261-284 (2019) - [c20]Carmine Vassallo, Sebastian Proksch, Harald C. Gall
Automated reporting of anti-patterns and decay in continuous integration. ICSE 2019: 105-115 - [c19]Vincent J. Hellendoorn, Sebastian Proksch, Harald C. Gall
When code completion fails: a case study on real-world completions. ICSE 2019: 960-970 - [c18]Carol V. Alexandru, Sebastian Proksch, Pooyan Behnamghader, Harald C. Gall
Evo-Clocks: Software Evolution at a Glance. VISSOFT 2019: 12-22 - [d1]Carmine Vassallo
Replication Package for "Automated Reporting of Anti-Patterns and Decay in Continuous Integration". Zenodo, 2019 - 2018
- [c17]Ervina Çergani, Sebastian Proksch, Sarah Nadi, Mira Mezini:
Investigating Order Information in API-Usage Patterns: A Benchmark and Empirical Study. ICSOFT 2018: 91-102 - [c16]Carmine Vassallo, Sebastian Proksch, Timothy Zemp, Harald C. Gall
Un-break my build: assisting developers with build repair hints. ICPC 2018: 41-51 - [c15]Sebastian Proksch, Sven Amann, Sarah Nadi:
Enriched event streams: a general dataset for empirical studies on in-IDE activities of software developers. MSR 2018: 62-65 - [c14]Carol V. Alexandru, José J. Merchante, Sebastiano Panichella
On the usage of pythonic idioms. Onward! 2018: 1-11 - [c13]Carmine Vassallo, Sebastiano Panichella
Context is king: The developer perspective on the usage of static analysis tools. SANER 2018: 38-49 - [p1]Harald C. Gall, Carol V. Alexandru, Adelina Ciurumelea, Giovanni Grano, Christoph Laaber, Sebastiano Panichella, Sebastian Proksch, Gerald Schermann, Carmine Vassallo, Jitong Zhao:
Data-Driven Decisions and Actions in Today's Software Development. The Essence of Software Engineering 2018: 137-168 - 2017
- [b1]Sebastian Proksch:
Enriched Event Streams: A General Platform For Empirical Studies On In-IDE Activities Of Software Developers. Darmstadt University of Technology, Germany, 2017 - [j2]Guido Salvaneschi
On the Positive Effect of Reactive Programming on Software Comprehension: An Empirical Study. IEEE Trans. Software Eng. 43(12): 1125-1143 (2017) - [c12]Sebastian Proksch, Sarah Nadi, Sven Amann, Mira Mezini:
Enriching in-IDE process information with fine-grained source code history. SANER 2017: 250-260 - 2016
- [c11]Sven Amann, Sebastian Proksch, Sarah Nadi:
FeedBaG: An interaction tracker for Visual Studio. ICPC 2016: 1-3 - [c10]Sebastian Proksch, Sven Amann, Sarah Nadi, Mira Mezini:
Evaluating the evaluations of code recommender systems: a reality check. ASE 2016: 111-121 - [c9]Sebastian Proksch, Sven Amann, Sarah Nadi, Mira Mezini:
A dataset of simplified syntax trees for C#. MSR 2016: 476-479 - [c8]Sebastian Proksch, Johannes Lerch, Mira Mezini:
Intelligent code completion with Bayesian networks. Software Engineering 2016: 25-26 - [c7]Guido Salvaneschi, Sven Amann, Sebastian Proksch, Mira Mezini:
An empirical study on program comprehension with reactive programming. Software Engineering 2016: 69-70 - [c6]Ervina Çergani, Sebastian Proksch, Sarah Nadi, Mira Mezini:
Addressing scalability in API method call analytics. SWAN@SIGSOFT FSE 2016: 1-7 - [c5]Sven Amann, Sebastian Proksch, Sarah Nadi, Mira Mezini:
A Study of Visual Studio Usage in Practice. SANER 2016: 124-134 - 2015
- [j1]Sebastian Proksch, Johannes Lerch, Mira Mezini:
Intelligent Code Completion with Bayesian Networks. ACM Trans. Softw. Eng. Methodol. 25(1): 3:1-3:31 (2015) - 2014
- [c4]Sven Amann, Sebastian Proksch, Mira Mezini:
Method-call recommendations from implicit developer feedback. CSI-SE 2014: 5-6 - [c3]Sebastian Proksch, Sven Amann, Mira Mezini:
Towards standardized evaluation of developer-assistance tools. RSSE@ICSE 2014: 14-18 - [c2]Sebastian Proksch, Veronika Bauer, Gail C. Murphy:
How to Build a Recommendation System for Software Engineering. LASER Summer School 2014: 1-42 - [c1]Guido Salvaneschi
An empirical study on program comprehension with reactive programming. SIGSOFT FSE 2014: 564-575
Coauthor Index
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last updated on 2024-08-23 18:32 CEST by the dblp team
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