Alberto Bacchelli
Information Systems · 2013–2020
A researcher in the Science corpus: 10 papers; trusts 35 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 90 citations into it; #1,169 of 8,771 by trust here, #1,331 by citations
- Software — 42 citations into it; #563 of 1,227 by trust here, #304 by citations
- Computer Science Applications — 33 citations into it; #407 of 1,855 by trust here, #634 by citations
- Artificial Intelligence — 30 citations into it
- Computer Networks and Communications — 25 citations into it; #7,666 of 9,886 by trust here, #6,788 by citations
- Natural Language Processing — 24 citations into it
- Code Generation & Program Synthesis — 16 citations into it; #85 of 220 by trust here, #72 by citations
- Signal Processing — 14 citations into it; #4,406 of 7,572 by trust here, #2,816 by citations
Whom Alberto Bacchelli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Premkumar T. Devanbu
- Barbara A. Kitchenham
- Sylvain Firer-Blaess
- Georgios Gousios
- Miltiadis Allamanis
- Christian Bird
- Christian Fuchs
- Shari Lawrence Pfleeger
- Peter C. Rigby
- Nicolas Ducheneaut
Who trusts Alberto Bacchelli overall
- Georgios Gousios
- Peter C. Rigby
- Eirini Kalliamvakou
- Caitlin Sadowski
- Bianca Trinkenreich
- Vincent J. Hellendoorn
- Christian Bird
- Miltiadis Allamanis
- Shane McIntosh
- Margaret-Anne D. Storey
Papers from Alberto Bacchelli's perspective
Ordered by how strongly the researchers Alberto Bacchelli trusts endorse each paper. Same corpus, a different order for every researcher.
- On the naturalness of software
- On the localness of software
- Code completion with statistical language models
- Predicting Program Properties from "Big Code"
- Learning from examples to improve code completion systems
- Mining idioms from source code
- Phrase-Based Statistical Translation of Programming Languages
- Learning natural coding conventions
- Lexical statistical machine translation for language migration
- Use of relative code churn measures to predict system defect density (Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.)
Their papers
- UI Dark Patterns and Where to Find Them: A Study on Mobile Applications and User Perception (2020) — 298 citations
- When Code Completion Fails: A Case Study on Real-World Completions (2019) — 86 citations
- PyDriller: Python framework for mining software repositories (2018) — 353 citations
- Modern Code Review: A Case Study at Google (2017) — 368 citations
- A Security Perspective on Code Review: The Case of Chromium (2016) — 40 citations
- Will They Like This? Evaluating Code Contributions with Language Models (2015) — 74 citations
- On the "Naturalness" of Buggy Code (2015) — 299 citations
- Work Practices and Challenges in Pull-Based Development: The Contributor's Perspective (2014) — 502 citations
- A Hidden Markov Model to detect coded information islands in free text (2013) — 21 citations
- Expectations, outcomes, and challenges of modern code review (2013) — 854 citations