MSR 2026
Mon 13 - Tue 14 April 2026 Rio de Janeiro, Brazil
co-located with ICSE 2026

This program is tentative and subject to change.

Type hints (a.k.a. type annotations) in Python have become an important tool for improving code readability, supporting static analysis, and enabling early bug detection. Accordingly, it makes sense for third-party libraries whose code is expected to be consumed by external clients to adopt type annotations for these benefits. However, it is unclear how pervasive the use of type annotations is in third-party libraries. In this paper, we investigate the extent to which third-party libraries have adopted type annotations and whether library developers place annotations where they offer the most benefit, such as on a library’s public API. We analyze 76,327 versions across 11,021 libraries on the Python Package Index (PyPI). Our results show that 83.39% of libraries have at least one annotation. We identify six evolution patterns and find that most libraries maintain stable or gradually increasing annotation coverage, while only 4.13% abandon annotations once adopted. We find that library developers adopt type annotations to improve code clarity, linting, documentation, and static analysis, but may remove them when they cause errors or when the hints are considered unnecessary. Perhaps surprisingly, we find that developers prioritize annotating private functions over public/client-facing ones. Encouragingly though, many of these annotations are constrained and precise, with few instances of the Any type, most of which occur in parameters of public functions. Based on our findings, we provide implications for library developers and maintainers, package users, community contributors and researchers.

This program is tentative and subject to change.

Tue 14 Apr

Displayed time zone: Brasilia, Distrito Federal, Brazil change

11:00 - 12:30
Session 1-B: Maintenance, Evolution & ProcessesTechnical Papers / MSR Program at Oceania IV
Chair(s): Gregorio Robles Universidad Rey Juan Carlos
11:00
10m
Talk
Source Code Hotspots: A Diagnostic Method for Quality Issues
Technical Papers
Saleha Muzammil University of Virginia, Mughees Ur Rehman Virginia Tech, Zoe Kotti AUEB & DeepSea Technologies, Diomidis Spinellis AUEB & TU Delft
Pre-print
11:10
10m
Talk
The Value of Effective Pull Request Description
Technical Papers
Shirin Pirouzkhah University of Zurich, Pavlina Wurzel Goncalves University of Zurich, Alberto Bacchelli IfI, University of Zurich
Pre-print
11:20
10m
Talk
How do third-party Python libraries use type annotations?
Technical Papers
Eric Asare New York University Abu Dhabi, Sarah Nadi New York University Abu Dhabi
Pre-print
11:30
10m
Talk
Coordination at Scale in Large Distributed Development: The Case of Kubernetes
Technical Papers
Sabrina Aufiero University College London (UCL), Matteo Vaccargiu University of Cagliari, Silvia Bartolucci University College London, Fabio Caccioli University College London (UCL), Giuseppe Destefanis University College London
11:40
10m
Talk
Combining Example-Based and Rule-Based Program Transformations to Resolve Build Conflicts
Technical Papers
Sheikh Shadab Towqir Virginia Tech, Fei He Tsinghua University, Todd Mytkowicz Google, Na Meng Virginia Tech
Pre-print
11:50
10m
Talk
Mining Quantum Software Patterns in Open-Source Projects
Technical Papers
Neilson Carlos Leite Ramalho Universidade de São Paulo, Erico Augusto Da Silva Universidade de São Paulo, Higor Amario de Souza University of São Paulo, Marcos Lordello Chaim University of São Paulo
12:00
10m
Talk
Analyzing Dependency Distribution Changes Arising from Code Smell InteractionsVirtual Attendance
Technical Papers
Zushuai Zhang University of Auckland, Elliott Wen , Ewan Tempero The University of Auckland
Pre-print Media Attached File Attached
12:10
10m
Talk
Evolving Kubernetes: A Technical Debt Perspective
Technical Papers
Jesse Maarleveld University of Groningen, Giuseppe Destefanis University College London, Daniel Feitosa University of Groningen
12:20
10m
Talk
Secret Leak Detection in Software Issue Reports using LLMs: A Comprehensive Evaluation
Technical Papers
Sadif Ahmed Bangladesh University of Engineering and Techonology, Md Nafiu Rahman Bangladesh University of Engineering and Technology, Zahin Wahab The University of British Columbia, Gias Uddin York University, Canada, Rifat Shahriyar Bangladesh University of Engineering and Technology Dhaka, Bangladesh
Pre-print Media Attached File Attached