Sven Apel

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Professor

Saarland University

Germany

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About

Professor Sven Apel is a faculty member at Saarland University in Germany. His research areas encompass software engineering, particularly focusing on debugging, program comprehension, and contributions within open-source software projects. Recent articles co-authored by Professor Apel examine aspects such as risk prioritization in testing, the performance evolution of configurable software systems, and issues related to gender perceptions in software development communities.

Recent Grants

Grant: Open

A Neuroscientific Foundation of Program Comprehension

Open Date: 2022-01-01

Close Date: 2027-01-01

Grant: Close

Foundations and Implications of Socio-Technical Congruence in Large-Scale, Decentralized, and Distributed Software Projects

Open Date: 2020-01-01

Close Date:

Grant: Close

Composition and Abstraction with Explications ((02) C02)

Open Date: 2019-01-01

Close Date:

Grant: Close

Knowledge-Driven Inspection ((17) E03)

Open Date: 2019-01-01

Close Date:

Grant: Close

Green Configuration: Determining the Influence of Software Configurations on Energy Consumption

Open Date: 2017-01-01

Close Date: 2023-12-31

Articles (20)

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2022

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2022

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2022

Collaborators (2)

Norman Peitek

Saarland University

GERMANY

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Rick Kazman

Professor

University of Hawaii

UNITED STATES

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Sven Apel

Research Interests

Explore related searches

About

Recent Grants

Articles (20)

On the Influence of the Baseline in Neuroimaging Experiments on Program Comprehension

Is perceived gender related to contributions and standing in open-source software projects?

Understanding Debugging as Episodes: A Case Study on Performance Bugs in Configurable Software Systems

Prioritizing Test Gaps by Risk in Industrial Practice: An Automated Approach and Multimethod Study

Understanding the low inter-rater agreement on aggressiveness on the Linux Kernel Mailing List

Optimization of Automated and Manual Software Tests in Industrial Practice: A Survey and Historical Analysis

Feature causality

Predicting merge conflicts considering social and technical assets

Correlates of Programmer Efficacy and Their Link to Experience: A Combined EEG and Eye-Tracking Study

Mastering uncertainty in performance estimations of configurable software systems

Mining domain-specific edit operations from model repositories with applications to semantic lifting of model differences and change profiling

VEER: enhancing the interpretability of model-based optimizations

Automatic Core-Developer Identification on GitHub: A Validation Study

Performance evolution of configurable software systems: an empirical study

Challenges of Resolving Merge Conflicts: A Mining and Survey Study

Feature Interactions on Steroids: On the Composition of ML Models

Green Configuration: Can Artificial Intelligence Help Reduce Energy Consumption of Configurable Software Systems?

How Do Successful and Failed Projects Differ? A Socio-Technical Analysis

In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study

Leveraging Structure in Software Merge: An Empirical Study

Collaborators (2)

Norman Peitek

Rick Kazman

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