Software fault prediction using deep learning techniques by Batool, Iqra, Khan, Tamim Ahmed

Software defect prediction using Bayesian networks by Okutan, Ahmet, Yıldız, Olcay Taner

Correction to: On business adoption and use of reproducible builds for open and closed source software by Butler, Simon, Gamalielsson, Jonas, Lundell, Björn, Brax, Christoffer, Mattsson, Anders, Gustavsson, Tomas, Feist, Jonas, Kvarnström, Bengt, Lönroth, Erik

A survey of multi-agent deep reinforcement learning with communication by Zhu, Changxi, Dastani, Mehdi, Wang, Shihan

Predictors of well-being and productivity among software professionals during the COVID-19 pandemic – a longitudinal study by Russo, Daniel, Hanel, Paul H. P., Altnickel, Seraphina, van Berkel, Niels

How to certify machine learning based safety-critical systems? A systematic literature review by Tambon, Florian, Laberge, Gabriel, An, Le, Nikanjam, Amin, Mindom, Paulina Stevia Nouwou, Pequignot, Yann, Khomh, Foutse, Antoniol, Giulio, Merlo, Ettore, Laviolette, François

Model-based testing for software safety: a systematic mapping study by Gurbuz, Havva Gulay, Tekinerdogan, Bedir

Sentiment Polarity Detection for Software Development by Calefato, Fabio, Lanubile, Filippo, Maiorano, Federico, Novielli, Nicole

Which process metrics can significantly improve defect prediction models? An empirical study by Madeyski, Lech, Jureczko, Marian

Grand challenges in model-driven engineering: an analysis of the state of the research by Bucchiarone, Antonio, Cabot, Jordi, Paige, Richard F., Pierantonio, Alfonso

Transferability of machine learning models learned from public intrusion detection datasets: the CICIDS2017 case study by Catillo, Marta, Del Vecchio, Andrea, Pecchia, Antonio, Villano, Umberto

Test case selection and prioritization using machine learning: a systematic literature review by Pan, Rongqi, Bagherzadeh, Mojtaba, Ghaleb, Taher A., Briand, Lionel

Digital Twins, Internet of Things and Mobile Medicine: A Review of Current Platforms to Support Smart Healthcare by Volkov, I., Radchenko, G., Tchernykh, A.

CoCo-GAN: CodeBERT-driven collaborative generative adversarial learning for software defect prediction by Yang, Xiaoxing, Xiao, Liwei, Su, Jianmin, Huang, Bingding

Correction to: A comprehensive analysis of challenges and strategies for software release notes on github by Wu, Jianyu, He, Hao, Gao, Kai, Xiao, Wenxin, Li, Jingyue, Zhou, Minghui

Ergo, SMIRK is safe: a safety case for a machine learning component in a pedestrian automatic emergency brake system by Borg, Markus, Henriksson, Jens, Socha, Kasper, Lennartsson, Olof, Sonnsjö Lönegren, Elias, Bui, Thanh, Tomaszewski, Piotr, Sathyamoorthy, Sankar Raman, Brink, Sebastian, Helali Moghadam, Mahshid

What is an app store? The software engineering perspective by Zhu, Wenhan, Proksch, Sebastian, German, Daniel M., Godfrey, Michael W., Li, Li, McIntosh, Shane

A teamwork effectiveness model for agile software development by Strode, Diane, Dingsøyr, Torgeir, Lindsjorn, Yngve

Automatic repair of real bugs in java: a large-scale experiment on the defects4j dataset by Martinez, Matias, Durieux, Thomas, Sommerard, Romain, Xuan, Jifeng, Monperrus, Martin

Machine Learning: Algorithms, Real-World Applications and Research Directions by Sarker, Iqbal H.