Ausgabe 2/2024
Inhalt (20 Artikel)
Diversity in issue assignment: humans vs bots
Aniruddhan Murali, Gaurav Sahu, Kishanthan Thangarajah, Brian Zimmerman, Gema Rodríguez-Pérez, Meiyappan Nagappan
HyperPUT: generating synthetic faulty programs to challenge bug-finding tools
Riccardo Felici, Laura Pozzi, Carlo A. Furia
An empirical study on the usage of mocking frameworks in Apache software foundation
Lu Xiao, Gengwu Zhao, Xiao Wang, Keye Li, Erick Lim, Chenhao Wei, Tingting Yu, Xiaoyin Wang
Exploring Gender Bias In Remote Pair Programming Among Software Engineering Students: The twincode Original Study And First External Replication
Amador Durán Toro, Pablo Fernández, Beatriz Bernárdez, Nathaniel Weinman, Aslıhan Akalın, Armando Fox
Evolution of automated weakness detection in Ethereum bytecode: a comprehensive study
Monika di Angelo, Thomas Durieux, João F. Ferreira, Gernot Salzer
Software development metrics: to VR or not to VR
David Moreno-Lumbreras, Gregorio Robles, Daniel Izquierdo-Cortázar, Jesus M. Gonzalez-Barahona
Improving the quality of software issue report descriptions in Turkish: An industrial case study at Softtech
Ethem Utku Aktas, Ebru Cakmak, Mete Cihad Inan, Cemal Yilmaz
Demystifying API misuses in deep learning applications
Deheng Yang, Kui Liu, Yan Lei, Li Li, Huan Xie, Chunyan Liu, Zhenyu Wang, Xiaoguang Mao, Tegawendé F. Bissyandé
Studying the impact of risk assessment analytics on risk awareness and code review performance
Xueyao Yu, Filipe R. Cogo, Shane McIntosh, Michael W. Godfrey
Evaluating the impact of flaky simulators on testing autonomous driving systems
Mohammad Hossein Amini, Shervin Naseri, Shiva Nejati
Analyzing source code vulnerabilities in the D2A dataset with ML ensembles and C-BERT
Saurabh Pujar, Yunhui Zheng, Luca Buratti, Burn Lewis, Yunchung Chen, Jim Laredo, Alessandro Morari, Edward Epstein, Tsungnan Lin, Bo Yang, Zhong Su
An empirical study of attack-related events in DeFi projects development
Dongming Xiang, Yuanchang Lin, Liming Nie, Yaowen Zheng, Zhengzi Xu, Zuohua Ding, Yang Liu
LineFlowDP: A Deep Learning-Based Two-Phase Approach for Line-Level Defect Prediction
Fengyu Yang, Fa Zhong, Guangdong Zeng, Peng Xiao, Wei Zheng
When less is more: on the value of “co-training” for semi-supervised software defect predictors
Suvodeep Majumder, Joymallya Chakraborty, Tim Menzies
Traceability and reuse mechanisms, the most important properties of model transformation languages
Stefan Höppner, Matthias Tichy
Investigating the readability of test code
Dietmar Winkler, Pirmin Urbanke, Rudolf Ramler
Quantifying and characterizing clones of self-admitted technical debt in build systems
Tao Xiao, Zhili Zeng, Dong Wang, Hideaki Hata, Shane McIntosh, Kenichi Matsumoto
Machine learning-based test smell detection
Valeria Pontillo, Dario Amoroso d’Aragona, Fabiano Pecorelli, Dario Di Nucci, Filomena Ferrucci, Fabio Palomba
An empirical study of untangling patterns of two-class dependency cycles
Qiong Feng, Shuwen Liu, Huan Ji, Xiaotian Ma, Peng Liang