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Published in 2018 at "Empirical Software Engineering"
DOI: 10.1007/s10664-018-9641-6
Abstract: Model-driven engineering (MDE) enables the rise in abstraction during development in software and system design. In particular, meta-models become a central artifact in the process, and are supported by various other artifacts such as editors…
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Keywords:
large scale;
source;
ocl research;
empowering ocl ... See more keywords
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Published in 2024 at "Empirical Software Engineering"
DOI: 10.1007/s10664-024-10544-7
Abstract: GitHub provides developers with a practical way to distribute source code and collaboratively work on common projects. To enhance account security and privacy, GitHub allows its users to manage access permissions, review audit logs, and…
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Keywords:
github;
empirical study;
privacy;
privacy settings ... See more keywords
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Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac816
Abstract: Abstract Motivation Precise reconstruction of neuronal arbors is important for circuitry mapping. Many auto-tracing algorithms have been developed toward full reconstruction. However, it is still challenging to trace the weak signals of neurite fibers that…
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Keywords:
neuron fibers;
https;
github;
weak neuron ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2915247
Abstract: In recent years, GitHub, the most popular social coding site, has been increasingly employed for managing learning content, sharing knowledge, imparting experience, and requesting and contributing learning resources in a crowdsourced way. We thus refer…
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Keywords:
crowdsourced learning;
learning projects;
exploratory study;
github ... See more keywords
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Published in 2017 at "Communications of the ACM"
DOI: 10.1145/3126905
Abstract: What is the effect of programming languages on software quality? This question has been a topic of much debate for a very long time. In this study, we gather a very large data set from…
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Keywords:
quality;
software quality;
programming languages;
study ... See more keywords
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Published in 2024 at "Organization Science"
DOI: 10.1287/orsc.2023.18348
Abstract: We study the engagement of nascent firms with open source communities and its implications for innovation and attracting funding. To do so, we link data on 160,065 U.S. startups from Crunchbase to their activities on…
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Keywords:
github;
open source;
beefing investor;
funding ... See more keywords