SERG
About SERG
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Computational Intelligence for Software Engineering
DevOps
Machine Learning for Software Engineering
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Software Engineering for Fintech
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Alberto Bacchelli
Assistant Professor
U. Zurich
Latest
Investigating severity thresholds for test smells
On the performance of method-level bug prediction: A negative result
Primers or reminders? The effects of existing review comments on code review
Classifying code comments in Java software systems
Fine-grained just-in-time defect prediction
Healthcare Android apps: a tale of the customers’ perspective
Mock objects for testing java systems
PathMiner: a library for mining of path-based representations of code
Test-driven code review: an empirical study
The effects of change decomposition on code review—a controlled experiment
To react, or not to react: Patterns of reaction to API deprecation
A graph-based dataset of commit history of real-world android apps
Code review for newcomers: is it different?
Does reviewer recommendation help developers?
How is video game development different from software development in open source?
Information needs in contemporary code review
Investigating type declaration mismatches in Python
Mining file histories: Should we consider branches?
On the reaction to deprecation of clients of 4+ 1 popular Java APIs and the JDK
On the relation of test smells to software code quality
Pydriller: Python framework for mining software repositories
Re-evaluating method-level bug prediction
Self-reported activities of android developers
Understanding developers' needs on deprecation as a language feature
What makes a code change easier to review: an empirical investigation on code change reviewability
When testing meets code review: Why and how developers review tests
Why are features deprecated? an investigation into the motivation behind deprecation
Classifying code comments in Java open-source software systems
Does single blind peer review hinder newcomers?
Double-blind review in software engineering venues: the community's perspective
fine-GRAPE: fine-grained APi usage extractor--an approach and dataset to investigate API usage
Message from the Tool Demonstrations Track Co-Chairs
Mining motivated trends of usage of Haskell libraries
To mock or not to mock? an empirical study on mocking practices
A search-based training algorithm for cost-aware defect prediction
A security perspective on code review: The case of chromium
On the reaction to deprecation of 25,357 clients of 4+ 1 popular Java APIs
On the" naturalness" of buggy code
Social diversity and growth levels of open source software projects on GitHub
Visualizing code and coverage changes for code review
Work practices and challenges in pull-based development: the contributor's perspective
A dataset for API usage
A Mixed Methods Approach to Mining Code Review Data: Examples and a study of multicommit reviews and pull requests
Automatic assessments of code explanations: Predicting answering times on stack overflow
Eta: Estimated time of answer predicting response time in Stack Overflow
One-day flies on stackoverflow-why the vast majority of stackoverflow users only posts once
Quality questions need quality code: Classifying code fragments on stack overflow
Supporting developers' coordination in the ide
Untangling fine-grained code changes
Will they like this? Evaluating code contributions with language models
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