Sebastian Proksch

Orcid: 0000-0003-1856-9361

Affiliations:
  • TU Delft, The Netherlands


According to our database1, Sebastian Proksch authored at least 40 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
What is an app store? The software engineering perspective.
Empir. Softw. Eng., February, 2024

Frankenstein: fast and lightweight call graph generation for software builds.
Empir. Softw. Eng., February, 2024

AROMA: Automatic Reproduction of Maven Artifacts.
Proc. ACM Softw. Eng., 2024

On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study.
Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

2023
On the relation of method popularity to breaking changes in the Maven ecosystem.
J. Syst. Softw., September, 2023

Completing Function Documentation Comments Using Structural Information.
Empir. Softw. Eng., 2023

On the Effect of Transitivity and Granularity on Vulnerability Propagation in the Maven Ecosystem.
Proceedings of the IEEE International Conference on Software Analysis, 2023

2022
Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Type4Py: Deep Similarity Learning-Based Type Inference for Python.
CoRR, 2021

2020
Replication Package for "Configuration Smells in Continuous Delivery Pipelines: A Linter and A Six-Month Study on GitLab".
Dataset, June, 2020

Replication Package for "Configuration Smells in Continuous Delivery Pipelines: A Linter and A Six-Month Study on GitLab".
Dataset, May, 2020

Every build you break: developer-oriented assistance for build failure resolution.
Empir. Softw. Eng., 2020

How developers engage with static analysis tools in different contexts.
Empir. Softw. Eng., 2020

Suggesting Comment Completions for Python using Neural Language Models.
Proceedings of the 27th IEEE International Conference on Software Analysis, 2020

Configuration smells in continuous delivery pipelines: a linter and a six-month study on GitLab.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

2019
Replication Package for "Automated Reporting of Anti-Patterns and Decay in Continuous Integration".
Dataset, January, 2019

Developer Testing in the IDE: Patterns, Beliefs, and Behavior.
IEEE Trans. Software Eng., 2019

Redundancy-free analysis of multi-revision software artifacts.
Empir. Softw. Eng., 2019

Evo-Clocks: Software Evolution at a Glance.
Proceedings of the 2019 Working Conference on Software Visualization, 2019

Automated reporting of anti-patterns and decay in continuous integration.
Proceedings of the 41st International Conference on Software Engineering, 2019

When code completion fails: a case study on real-world completions.
Proceedings of the 41st International Conference on Software Engineering, 2019

2018
Context is king: The developer perspective on the usage of static analysis tools.
Proceedings of the 25th International Conference on Software Analysis, 2018

On the usage of pythonic idioms.
Proceedings of the 2018 ACM SIGPLAN International Symposium on New Ideas, 2018

Enriched event streams: a general dataset for empirical studies on in-IDE activities of software developers.
Proceedings of the 15th International Conference on Mining Software Repositories, 2018

Un-break my build: assisting developers with build repair hints.
Proceedings of the 26th Conference on Program Comprehension, 2018

Investigating Order Information in API-Usage Patterns: A Benchmark and Empirical Study.
Proceedings of the 13th International Conference on Software Technologies, 2018

Data-Driven Decisions and Actions in Today's Software Development.
Proceedings of the Essence of Software Engineering, 2018

2017
Enriched Event Streams: A General Platform For Empirical Studies On In-IDE Activities Of Software Developers.
PhD thesis, 2017

On the Positive Effect of Reactive Programming on Software Comprehension: An Empirical Study.
IEEE Trans. Software Eng., 2017

Enriching in-IDE process information with fine-grained source code history.
Proceedings of the IEEE 24th International Conference on Software Analysis, 2017

2016
A Study of Visual Studio Usage in Practice.
Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016

Addressing scalability in API method call analytics.
Proceedings of the 2nd International Workshop on Software Analytics, 2016

An empirical study on program comprehension with reactive programming.
Proceedings of the Software Engineering 2016, 2016

A dataset of simplified syntax trees for C#.
Proceedings of the 13th International Conference on Mining Software Repositories, 2016

Evaluating the evaluations of code recommender systems: a reality check.
Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

FeedBaG: An interaction tracker for Visual Studio.
Proceedings of the 24th IEEE International Conference on Program Comprehension, 2016

2015
Intelligent Code Completion with Bayesian Networks.
ACM Trans. Softw. Eng. Methodol., 2015

2014
How to Build a Recommendation System for Software Engineering.
Proceedings of the Software Engineering - International Summer Schools, 2014

Towards standardized evaluation of developer-assistance tools.
Proceedings of the 4th International Workshop on Recommendation Systems for Software Engineering, 2014

Method-call recommendations from implicit developer feedback.
Proceedings of the 1st International Workshop on CrowdSourcing in Software Engineering, 2014


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