Harald C. Gall
Information Systems · 2003–2019
A researcher in the Science corpus: 9 papers; trusts 15 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 63 citations into it; #1,574 of 8,771 by trust here, #831 by citations
- Artificial Intelligence — 30 citations into it; #10,529 of 35,345 by trust here, #16,166 by citations
- Software — 29 citations into it
- Natural Language Processing — 16 citations into it
- Computer Networks and Communications — 15 citations into it; #6,705 of 9,886 by trust here, #4,950 by citations
- Code Generation & Program Synthesis — 8 citations into it
- Signal Processing — 6 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Harald C. Gall trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Premkumar T. Devanbu
- Sebastian Proksch
- Anh Tuan Nguyen
- Audris Mockus
- Vincent J. Hellendoorn
- Davor Cubranic
- Romain Robbes
Who trusts Harald C. Gall overall
- Thomas Zimmermann
- Andrea De Lucia
- Ahmed E. Hassan
- Peter Weißgerber
- Sunghun Kim
- Andreas Zeller
- Fausto Fasano
- Marco D'Ambros
- Zhenchang Xing
- Gerardo Canfora
Papers from Harald C. Gall's perspective
Ordered by how strongly the researchers Harald C. Gall trusts endorse each paper. Same corpus, a different order for every researcher.
- On the naturalness of software
- Code completion with statistical language models
- On the localness of software
- Learning from examples to improve code completion systems
- Toward Deep Learning Software Repositories
- A statistical semantic language model for source code
- On the "Naturalness" of Buggy Code
- Two case studies of open source software development: Apache and Mozilla (TSEM)
- How Program History Can Improve Code Completion
- Graph-Based Statistical Language Model for Code
Their papers
- When Code Completion Fails: A Case Study on Real-World Completions (2019) — 86 citations
- Software Engineering for Machine Learning: A Case Study (2019) — 1,033 citations
- How can i improve my app? Classifying user reviews for software maintenance and evolution (2015) — 465 citations
- The making of cloud applications: an empirical study on software development for the cloud (2014) — 102 citations
- Don't touch my code!: examining the effects of ownership on software quality (2011) — 404 citations
- Cross-project defect prediction: a large scale experiment on data vs. domain vs. process (2009) — 719 citations
- Change Distilling:Tree Differencing for Fine-Grained Source Code Change Extraction (2007) — 665 citations
- CVS release history data for detecting logical couplings (2003) — 327 citations
- Populating a Release History Database from version control and bug tracking systems (2003) — 593 citations