Interests
- Software Analytics
- Software Ecosystems
Latest
- Can we trust tests to automate dependency updates? A case study of Java Projects
- IN4334 guest lecture: ML4SE
- ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development
- Learning Off-By-One Mistakes: An Empirical Study
- ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-based Type Inference
- Modeling Team Dynamics for the Characterization and Prediction of Delays in User Stories
- Midway: The state of the FASTEN project after 1 1/2 years
- Dependency solving is still hard, but we are getting better at it
- Fine-grained network analysis for modern software ecosystems
- Message from the Chairs of MSR 2020
- Offside: Learning to identify mistakes in boundary conditions
- Questions for data scientists in software engineering: a replication
- Selecting third-party libraries: The practitioners’ perspective
- Typewriter: Neural type prediction with search-based validation
- Effective and efficient API misuse detection via exception propagation and search-based testing
- Releasing fast and slow: an exploratory case study at ING
- Big data software analytics with Apache Spark
- Debugging data flows in reactive programs
- Enabling real-time feedback in software engineering
- How good is your puppet? an empirically defined and validated quality model for puppet
- How to analyze git repositories with command line tools: we're not in kansas anymore
- On software modernisation due to library obsolescence
- Prazi: From package-based to precise call-based dependency network analyses
- Relationship between geographical location and evaluation of developer contributions in github
- Software ecosystem call graph for dependency management
- Developer testing in the ide: Patterns, beliefs, and behavior
- Exception handling bug hazards in Android: Results from a mining study and an exploratory survey
- Mining software engineering data from GitHub
- Oops, my tests broke the build: An explorative analysis of travis ci with github
- Strong agile metrics: mining log data to determine predictive power of software metrics for continuous delivery teams
- Structure and evolution of package dependency networks
- Travistorrent: Synthesizing travis ci and github for full-stack research on continuous integration
- How to catch'em all: WatchDog, a family of IDE plug-ins to assess testing
- Work practices and challenges in pull-based development: the contributor's perspective
- A Mixed Methods Approach to Mining Code Review Data: Examples and a study of multicommit reviews and pull requests
- Automatically prioritizing pull requests
- How (much) do developers test?
- Matching GitHub developer profiles to job advertisements
- Pricing via functional size-a case study of a company's portfolio of 77 outsourced projects
- Untangling fine-grained code changes
- When, how, and why developers (do not) test in their IDEs
- Work practices and challenges in pull-based development: The integrator's perspective
- The Vulnerability Dataset of a Large Software Ecosystem