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ORCIDEmpirical Software Engineering, Volume 29
Volume 29, Number 1, February 2024
- Mehdi Keshani
, Georgios Gousios, Sebastian Proksch:
Frankenstein: fast and lightweight call graph generation for software builds. 1 - Roger Creus Castanyer, Silverio Martínez-Fernández, Xavier Franch:
Which design decisions in AI-enabled mobile applications contribute to greener AI? 2 - Maria Teresa Baldassarre, Marcos Kalinowski:
Guest editorial: special issue on empirical software engineering and measurement. 3 - Michael Fu, Chakkrit Tantithamthavorn, Trung Le, Yuki Kume, Van Nguyen, Dinh Q. Phung, John C. Grundy:
AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities. 4 - Wen Siang Tan, Markus Wagner, Christoph Treude:
Detecting outdated code element references in software repository documentation. 5 - Asif Kamal Turzo, Amiangshu Bosu:
What makes a code review useful to OpenDev developers? An empirical investigation. 6 - Gunnar Kudrjavets, Ayushi Rastogi:
Does code review speed matter for practitioners? 7 - Arif Ali Khan, Javed Ali Khan, Muhammad Azeem Akbar, Peng Zhou, Mahdi Fahmideh:
Insights into software development approaches: mining Q &A repositories. 8 - Carmine Ferrara, Giulia Sellitto, Filomena Ferrucci, Fabio Palomba, Andrea De Lucia:
Fairness-aware machine learning engineering: how far are we? 9 - Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol:
Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow. 10 - Rahul Bajaj, Eduardo Fernandes, Bram Adams, Ahmed E. Hassan:
Unreproducible builds: time to fix, causes, and correlation with external ecosystem factors. 11 - Cezar Sas, Andrea Capiluppi:
Multi-granular software annotation using file-level weak labelling. 12 - Majd Soud, Grischa Liebel, Mohammad Hamdaqa:
A fly in the ointment: an empirical study on the characteristics of Ethereum smart contract code weaknesses. 13 - Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming (Jack) Jiang:
Bug characterization in machine learning-based systems. 14 - Mihaela Todorova Tomova, Martin Hofmann, Constantin Hütterer, Patrick Mäder:
Assessing the utility of text-to-SQL approaches for satisfying software developer information needs. 15 - Iris Reinhartz-Berger:
Challenges in software model reuse: cross application domain vs. cross modeling paradigm. 16 - Emitzá Guzmán, Ricarda Anna-Lena Fischer, Janey Kok:
Mind the gap: gender, micro-inequities and barriers in software development. 17 - Quang-Cuong Bui, Ranindya Paramitha, Duc Ly Vu, Fabio Massacci, Riccardo Scandariato:
APR4Vul: an empirical study of automatic program repair techniques on real-world Java vulnerabilities. 18 - Giovani Guizzo, Jie M. Zhang, Federica Sarro, Christoph Treude, Mark Harman:
Mutation analysis for evaluating code translation. 19 - Giammaria Giordano, Gerardo Festa, Gemma Catolino, Fabio Palomba, Filomena Ferrucci, Carmine Gravino:
On the adoption and effects of source code reuse on defect proneness and maintenance effort. 20 - Rasmus Ros, Elizabeth Bjarnason, Per Runeson:
A theory of factors affecting continuous experimentation (FACE). 21 - Moses Openja, Gabriel Laberge, Foutse Khomh:
Detection and evaluation of bias-inducing features in machine learning. 22 - Önder Babur, Eleni Constantinou, Alexander Serebrenik:
Language usage analysis for EMF metamodels on GitHub. 23 - Gustavo Vale, Heitor A. X. Costa, Sven Apel:
Predicting merge conflicts considering social and technical assets. 24 - Nikolaos Nikolaidis, Nikolaos Mittas, Apostolos Ampatzoglou, Daniel Feitosa, Alexander Chatzigeorgiou:
A metrics-based approach for selecting among various refactoring candidates. 25 - Sotirios Liaskos:
On the intuitive comprehensibility of contribution links in goal models: an experimental study. 26 - Abheeshta Putta, Maria Paasivaara, Casper Lassenius:
SAFe transformation in a large financial corporation. 27 - Alireza Ardalani, Saeed Parsa, Morteza Zakeri Nasrabadi, Alexander Chatzigeorgiou:
Supporting single responsibility through automated extract method refactoring. 28 - Moataz Chouchen, Ali Ouni:
A multi-objective effort-aware approach for early code review prediction and prioritization. 29 - Diego Marcilio, Carlo A. Furia:
Lightweight precise automatic extraction of exception preconditions in java methods. 30 - Rui Rua, João Saraiva:
A large-scale empirical study on mobile performance: energy, run-time and memory. 31 - Dulaji Hidellaarachchi, John C. Grundy, Rashina Hoda, Ingo Mueller:
The Impact of Personality on Requirements Engineering Activities: A Mixed-Methods Study. 32 - Md. Ahasanuzzaman, Gustavo Ansaldi Oliva, Ahmed E. Hassan:
Using knowledge units of programming languages to recommend reviewers for pull requests: an empirical study. 33 - Akond Rahman, Dibyendu Brinto Bose, Yue Zhang, Rahul Pandita:
An empirical study of task infections in Ansible scripts. 34 - Wenhan Zhu, Sebastian Proksch, Daniel M. Germán, Michael W. Godfrey, Li Li, Shane McIntosh:
What is an app store? The software engineering perspective. 35 - Max Hort, Jie M. Zhang, Federica Sarro, Mark Harman:
Search-based Automatic Repair for Fairness and Accuracy in Decision-making Software. 36
Volume 29, Number 2, April 2024
- Aniruddhan Murali, Gaurav Sahu, Kishanthan Thangarajah, Brian D. Zimmerman, Gema Rodríguez-Pérez, Meiyappan Nagappan:
Diversity in issue assignment: humans vs bots. 37 - Riccardo Felici, Laura Pozzi, Carlo A. Furia:
HyperPUT: generating synthetic faulty programs to challenge bug-finding tools. 38 - Lu Xiao, Gengwu Zhao, Xiao Wang, Keye Li, Erick Lim, Chenhao Wei, Tingting Yu, Xiaoyin Wang:
An empirical study on the usage of mocking frameworks in Apache software foundation. 39 - Amador Durán Toro, Pablo Fernandez, Beatriz Bernárdez, Nathaniel Weinman, Aslihan Akalin, Armando Fox:
Exploring Gender Bias In Remote Pair Programming Among Software Engineering Students: The twincode Original Study And First External Replication. 40 - Monika Di Angelo, Thomas Durieux, João F. Ferreira, Gernot Salzer:
Evolution of automated weakness detection in Ethereum bytecode: a comprehensive study. 41 - David Moreno-Lumbreras, Gregorio Robles, Daniel Izquierdo, Jesús M. González-Barahona:
Software development metrics: to VR or not to VR. 42 - Ethem Utku Aktas, Ebru Cakmak, Mete Cihad Inan, Cemal Yilmaz:
Improving the quality of software issue report descriptions in Turkish: An industrial case study at Softtech. 43 - Mohammad Robati Shirzad, Patrick Lam:
A study of common bug fix patterns in Rust. 44 - Deheng Yang, Kui Liu, Yan Lei, Li Li, Huan Xie, Chunyan Liu, Zhenyu Wang, Xiaoguang Mao, Tegawendé F. Bissyandé:
Demystifying API misuses in deep learning applications. 45 - Xueyao Yu, Filipe R. Cogo, Shane McIntosh, Michael W. Godfrey:
Studying the impact of risk assessment analytics on risk awareness and code review performance. 46 - Mohammad Hossein Amini, Shervin Naseri, Shiva Nejati:
Evaluating the impact of flaky simulators on testing autonomous driving systems. 47 - Saurabh Pujar, Yunhui Zheng, Luca Buratti, Burn L. Lewis, Yunchung Chen, Jim Laredo, Alessandro Morari, Edward A. Epstein, Tsungnan Lin, Bo Yang, Zhong Su:
Analyzing source code vulnerabilities in the D2A dataset with ML ensembles and C-BERT. 48 - Dongming Xiang, Yuanchang Lin, Liming Nie, Yaowen Zheng, Zhengzi Xu, Zuohua Ding, Yang Liu:
An empirical study of attack-related events in DeFi projects development. 49 - Fengyu Yang, Fa Zhong, Guangdong Zeng, Peng Xiao, Wei Zheng:
LineFlowDP: A Deep Learning-Based Two-Phase Approach for Line-Level Defect Prediction. 50 - Suvodeep Majumder, Joymallya Chakraborty, Tim Menzies:
When less is more: on the value of "co-training" for semi-supervised software defect predictors. 51 - Stefan Höppner, Matthias Tichy:
Traceability and reuse mechanisms, the most important properties of model transformation languages. 52 - Dietmar Winkler, Pirmin Urbanke, Rudolf Ramler:
Investigating the readability of test code. 53 - Tao Xiao, Zhili Zeng, Dong Wang, Hideaki Hata, Shane McIntosh, Kenichi Matsumoto:
Quantifying and characterizing clones of self-admitted technical debt in build systems. 54 - Valeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli, Dario Di Nucci, Filomena Ferrucci, Fabio Palomba:
Machine learning-based test smell detection. 55 - Qiong Feng, Shuwen Liu, Huan Ji, Xiaotian Ma, Peng Liang:
An empirical study of untangling patterns of two-class dependency cycles. 56
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