- Ifraz Rehman, Dong Wang, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto. Newcomer OSS-Candidates: Characterizing Contributions of Novice Developers to GitHub. Empirical Software Engineering, 27(5):109, 2022.
- Mohammad Masudur Rahman 0001, Foutse Khomh, Marco Castelluccio. Works for Me! Cannot Reproduce - A Large Scale Empirical Study of Non-reproducible Bugs. Empirical Software Engineering, 27(5):111, 2022.
- José Pereira dos Reis, Fernando Brito e Abreu, Glauco de Figueiredo Carneiro. Crowdsmelling: A preliminary study on using collective knowledge in code smells detection. Empirical Software Engineering, 27(3):69, 2022.
- Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan. SoftNER: Mining knowledge graphs from cloud incidents. Empirical Software Engineering, 27(4):93, 2022.
- Christian Kröher, Moritz Flöter, Lea Gerling, Klaus Schmid. Incremental software product line verification - A performance analysis with dead variable code. Empirical Software Engineering, 27(3):68, 2022.
- Frolin S. Ocariza Jr.. On the Effectiveness of Bisection in Performance Regression Localization. Empirical Software Engineering, 27(4):95, 2022.
- Fabiano Pecorelli, Gemma Catolino, Filomena Ferrucci, Andrea De Lucia, Fabio Palomba. Software testing and Android applications: a large-scale empirical study. Empirical Software Engineering, 27(2):31, 2022.
- Da Xiao, Dengji Hang, Lu Ai, Shengping Li, Hongliang Liang. Path context augmented statement and network for learning programs. Empirical Software Engineering, 27(2):37, 2022.
- Fabiano Pecorelli, Savanna Lujan, Valentina Lenarduzzi, Fabio Palomba, Andrea De Lucia. On the adequacy of static analysis warnings with respect to code smell prediction. Empirical Software Engineering, 27(3):64, 2022.
- Wei Li, Qingan Li, Yunlong Ming, Weijiao Dai, Shi Ying, Mengting Yuan. An empirical study of the effectiveness of IR-based bug localization for large-scale industrial projects. Empirical Software Engineering, 27(2):47, 2022.