An empirical evaluation of GitHub copilot's code suggestions

Nhan Nguyen, Sarah Nadi

Comments on comments: where code review and documentation meet

Nikitha Rao, Jason Tsay, Martin Hirzel, Vincent J. Hellendoorn

Towards reliable agile iterative planning via predicting documentation changes of work items

Jirat Pasuksmit, Patanamon Thongtanunam, Shanika Karunasekera

Smelly variables in ansible infrastructure code:: detection, prevalence, and lifetime

Ruben Opdebeeck, Ahmed Zerouali, Coen De Roover

Real-world clone-detection in go

Qinyun Wu, Huan-Song Zhou, Ping Yang

Operationalizing threats to MSR studies by simulation-based testing

Johannes Härtel, Ralf Lämmel

Challenges and future research direction for microtask programming in industry

Masanari Kondo, Shinobu Saito, Yukako Iimura, Eunjong Choi, Osamu Mizuno, Yasutaka Kamei, Naoyasu Ubayashi

An exploratory study on refactoring documentation in issues handling

Eman Abdullah AlOmar, Anthony Peruma, Mohamed Wiem Mkaouer, Christian D. Newman, Ali Ouni

Is refactoring always a good egg?: exploring the interconnection between bugs and refactorings

Amirreza Bagheri, Péter Hegedüs

Refactoring debt: myth or reality? an exploratory study on the relationship between technical debt and refactoring

Anthony Peruma, Eman Abdullah AlOmar, Christian D. Newman, Mohamed Wiem Mkaouer, Ali Ouni

Which bugs are missed in code reviews: an empirical study on SmartSHARK dataset

Fatemeh Khoshnoud, Ali Rezaei Nasab, Zahra Toudeji, Ashkan Sami

Dazzle: using optimized generative adversarial networks to address security data class imbalance issue

Rui Shu, Tianpei Xia, Laurie Williams, Tim Menzies

To what extent do deep learning-based code recommenders generate predictions by cloning code from the training set?

Matteo Ciniselli, Luca Pascarella, Gabriele Bavota

ApacheJIT: a large dataset for just-in-time defect prediction

Mohammad Hossein Keshavarz, Nachiappan Nagappan

Mining the ethereum blockchain platform: best practices and pitfalls (MSR 2022 tutorial)

Gustavo A. Oliva

Painting the landscape of automotive software in GitHub

Sangeeth Kochanthara, Yanja Dajsuren, Loek Cleophas, Mark van den Brand

Inspect4py: a knowledge extraction framework for python code repositories

Rosa Filgueira Vicente, Daniel Garijo Verdejo

SoCCMiner: a source code-comments and comment-context miner

Murali Sridharan, Mika Mantylä, Maëlick Claes, Leevi Rantala

An empirical study on maintainable method size in Java

Shaiful Alam Chowdhury, Gias Uddin, Reid Holmes

CLIP meets GamePhysics: towards bug identification in gameplay videos using zero-shot transfer learning

Mohammad Reza Taesiri, Finlay Macklon, Cor Paul Bezemer

ManyTypes4TypeScript: a comprehensive TypeScript dataset for sequence-based type inference

Kevin Jesse, Premkumar T. Devanbu

Npm-filter: automating the mining of dynamic information from npm packages

Ellen Arteca, Alexi Turcotte

On the violation of honesty in mobile apps: automated detection and categories

Humphrey O. Obie, Idowu Ilekura, Hung Du, Mojtaba Shahin, John Grundy, Li Li, Jon Whittle, Burak Turhan

The OCEAN mailing list data set: network analysis spanning mailing lists and code repositories

Melanie Warrick, Samuel F. Rosenblatt, Jean Gabriel Young, Amanda Casari, Laurent Hébert Dufresne, James Bagrow

The unsolvable problem or the unheard answer?: a dataset of 24,669 open-source software conference talks

Kimberly Truong, Courtney Miller, Bogdan Vasilescu, Christian Kastner

An empirical study on the survival rate of GitHub projects

Adem Ait, Javier Luis Cánovas Izquierdo, Jordi Cabot

DaSEA: a dataset for software ecosystem analysis

Petya Buchkova, Joakim Hey Hinnerskov, Kasper Olsen, Rolf Helge Pfeiffer

Lupa: a framework for large scale analysis of the programming language usage

Anna Vlasova, Maria Tigina, Ilya Vlasov, Anastasiia Birillo, Yaroslav Golubev, Timofey Bryksin

SniP: an efficient stack tracing framework for multi-threaded programs

Arun KP, Saurabh Kumar, Debadatta Mishra, Biswabandan Panda

TSSB-3M: mining single statement bugs at massive scale

Cedric Richter, Heike Wehrheim

Noisy label learning for security defects

Roland Croft, Muhammad Ali Babar, Huaming Chen

AndroOBFS: time-tagged obfuscated Android malware dataset with family information

Saurabh Kumar, Debadatta Mishra, Biswabandan Panda, Sandeep Kumar Shukla

Vul4J: a dataset of reproducible Java vulnerabilities geared towards the study of program repair techniques

Quang Cuong Bui, Riccardo Scandariato, Nicolás E. Díaz Ferreyra

Does configuration encoding matter in learning software performance?: an empirical study on encoding schemes

Jingzhi Gong, Tao Chen

On the naturalness of fuzzer-generated code

Rajeswari Hita Kambhamettu, John Billos, Tomi Oluwaseun Apo, Benjamin Gafford, Rohan Padhye, Vincent J. Hellendoorn

GraphCode2Vec: generic code embedding via lexical and program dependence analyses

Wei Ma, Mengjie Zhao, Ezekiel Soremekun, Qiang Hu, Jie Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon

FaST: a linear time stack trace alignment heuristic for crash report deduplication

Irving Muller Rodrigues, Daniel Aloise, Eraldo Rezende Fernandes

Methods for stabilizing models across large samples of projects (with case studies on predicting defect and project health)

Suvodeep Majumder, Tianpei Xia, Rahul Krishna, Tim Menzies

TwinDroid: a dataset of Android app system call traces and trace generation pipeline

Asma Razagallah, Raphaël Khoury, Jean Baptiste Poulet

LineVul: a transformer-based line-level vulnerability prediction

Michael Fu, Chakkrit Tantithamthavorn

ECench: an energy bug benchmark of ethereum client software

Jinyoung Kim, Misoo Kim, Eunseok Lee

Evaluating the effectiveness of local explanation methods on source code-based defect prediction models

Yuxiang Gao, Yi Zhu, Qiao Yu

To type or not to type?: a systematic comparison of the software quality of JavaScript and typescript applications on GitHub

Justus Bogner, Manuel Merkel

Constructing dataset of functionally equivalent Java methods using automated test generation techniques

Yoshiki Higo, Shinsuke Matsumoto, Shinji Kusumoto, Kazuya Yasuda

Code review practices for refactoring changes: an empirical study on OpenStack

Eman Abdullah AlOmar, Moataz Chouchen, Mohamed Wiem Mkaouer, Ali Ouni

A versatile dataset of agile open source software projects

Vali Tawosi, Afnan Al Subaihin, Rebecca Moussa, Federica Sarro

LAGOON: an analysis tool for open source communities

Sourya Dey, Walt Woods

Software bots in software engineering: benefits and challenges

Mairieli Wessel, Marco Aurelio Gerosa, Emad Shihab

GitRank: a framework to rank GitHub repositories

Niranjan Hasabnis

OpenSSL 3.0.0: an exploratory case study

James Walden

Replicating data pipelines with GrimoireLab

Kalvin Eng, Hareem Sahar

A large-scale dataset of (open source) license text variants

Stefano Zacchiroli

SECOM: towards a convention for security commit messages

Sofia Reis, Rui Abreu, Hakan Erdogmus, Corina S. Pasareanu