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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Detecting outdated code element references in software repository documentation. 5 - Asif Kamal Turzo, Amiangshu Bosu: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
Volume 29, Number 3, May 2024
- Christopher Steven Timperley, Gijs van der Hoorn, André Santos, Harshavardhan Deshpande, Andrzej Wasowski:
ROBUST: 221 bugs in the Robot Operating System. 57 - Elgun Jabrayilzade, Ayda Yurtoglu, Eray Tüzün:
Taxonomy of inline code comment smells. 58 - Amal Alazba, Hamoud Aljamaan, Mohammad R. Alshayeb:
CoRT: Transformer-based code representations with self-supervision by predicting reserved words for code smell detection. 59 - Tuan Dung Lai, Anj Simmons, Scott Barnett, Jean-Guy Schneider, Rajesh Vasa:
Comparative analysis of real issues in open-source machine learning projects. 60 - Manuel De Stefano, Dario Di Nucci, Fabio Palomba, Andrea De Lucia:
An empirical study into the effects of transpilation on quantum circuit smells. 61 - Michel Maes-Bermejo, Alexander Serebrenik, Micael Gallego, Francisco Gortázar, Gregorio Robles, Jesús M. González-Barahona:
Hunting bugs: Towards an automated approach to identifying which change caused a bug through regression testing. 66 - Aastha Pant, Rashina Hoda, Chakkrit Tantithamthavorn, Burak Turhan:
Ethics in AI through the practitioner's view: a grounded theory literature review. 67 - Chathrie Wimalasooriya, Sherlock A. Licorish, Daniel Alencar da Costa, Stephen G. MacDonell:
Just-in-Time crash prediction for mobile apps. 68 - Yan Lin, Trisha Singhal, Debin Gao, David Lo:
Analyzing and revivifying function signature inference using deep learning. 69 - Farideh Khalili, Leonardo Mariani, Ali Mohebbi, Mauro Pezzè, Valerio Terragni:
Semantic matching in GUI test reuse. 70 - Eduardo M. Guerra, Everaldo Gomes, Jeferson Ferreira, Igor Wiese, Phyllipe Lima, Marco Aurélio Gerosa, Paulo Meirelles:
How do annotations affect Java code readability? 62 - Shaoyu Yang, Xiang Chen, Ke Liu, Guang Yang, Chi Yu:
Automatic bi-modal question title generation for Stack Overflow with prompt learning. 63 - Junren Chen, Cheng Huang, Jiaxuan Han:
VioDroid-Finder: automated evaluation of compliance and consistency for Android apps. 64 - Kalvin Eng, Abram Hindle, Eleni Stroulia:
Patterns of multi-container composition for service orchestration with Docker Compose. 65
Volume 29, Number 4, July 2024
- Fabiano Pecorelli, Giovanni Grano, Fabio Palomba, Harald C. Gall, Andrea De Lucia:
Toward granular search-based automatic unit test case generation. 71 - Matteo Biagiola, Andrea Stocco, Vincenzo Riccio, Paolo Tonella:
Two is better than one: digital siblings to improve autonomous driving testing. 72 - William Levén, Hampus Broman, Terese Besker, Richard Torkar:
The broken windows theory applies to technical debt. 73 - Samuel Idowu, Osman Osman, Daniel Strüber, Thorsten Berger:
Machine learning experiment management tools: a mixed-methods empirical study. 74 - Christiaan Verwijs, Daniel Russo:
Do Agile scaling approaches make a difference? an empirical comparison of team effectiveness across popular scaling approaches. 75 - Akshat Malik, Bram Adams, Ahmed E. Hassan:
Towards graph-anonymization of software analytics data: empirical study on JIT defect prediction. 76 - Nathan Cassee, Andrei Agaronian, Eleni Constantinou, Nicole Novielli, Alexander Serebrenik:
Transformers and meta-tokenization in sentiment analysis for software engineering. 77 - Beiqi Zhang, Liming Fu, Peng Liang, Jiaxin Yu, Chong Wang:
Demystifying code snippets in code reviews: a study of the OpenStack and Qt communities and a practitioner survey. 78 - Musengamana Jean de Dieu, Peng Liang, Mojtaba Shahin, Chen Yang, Zengyang Li:
Mining architectural information: A systematic mapping study. 79 - Siyu Jiang, Yuwen Chen, Zhenhang He, Yunpeng Shang, Le Ma:
Cross-project defect prediction via semantic and syntactic encoding. 80 - Amir Mohammad Ebrahimi, Bram Adams, Gustavo Ansaldi Oliva, Ahmed E. Hassan:
A large-scale exploratory study on the proxy pattern in Ethereum. 81 - Tavian Barnes, Ken Jen Lee, Cristina Tavares, Gema Rodríguez-Pérez, Meiyappan Nagappan:
Towards understanding barriers and mitigation strategies of software engineers with non-traditional educational and occupational backgrounds. 82 - Zeyang Ma, Shouvick Mondal, Tse-Hsun (Peter) Chen, Haoxiang Zhang, Ahmed E. Hassan:
VulNet: Towards improving vulnerability management in the Maven ecosystem. 83 - Xingfang Wu, Eric Laufer, Heng Li, Foutse Khomh, Santhosh Srinivasan, Jayden Luo:
Characterizing and classifying developer forum posts with their intentions. 84 - Antônio da Silva, Renan Gomes Vieira, Diego P. P. Mesquita, João Paulo Pordeus Gomes, Lincoln S. Rocha:
Towards automatic labeling of exception handling bugs: A case study of 10 years bug-fixing in Apache Hadoop. 85 - Anuradha Madugalla, Tanjila Kanij, Rashina Hoda, Dulaji Hidellaarachchi, Aastha Pant, Samia Ferdousi, John C. Grundy:
Challenges, adaptations, and fringe benefits of conducting software engineering research with human participants during the COVID-19 pandemic. 86 - Mohammad Jamil Ahmad, Katerina Goseva-Popstojanova, Robyn R. Lutz:
The untold impact of learning approaches on software fault-proneness predictions: an analysis of temporal aspects. 87 - Wachiraphan Charoenwet, Patanamon Thongtanunam, Van-Thuan Pham, Christoph Treude:
Toward effective secure code reviews: an empirical study of security-related coding weaknesses. 88 - Hiroki Kuramoto, Dong Wang, Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi:
Understanding the characteristics and the role of visual issue reports. 89 - Chaiyong Ragkhitwetsagul, Jens Krinke, Morakot Choetkiertikul, Thanwadee Sunetnanta, Federica Sarro:
Adoption of automated software engineering tools and techniques in Thailand. 90 - Md. Abdullah Al Alamin, Gias Uddin:
How far are we with automated machine learning? characterization and challenges of AutoML toolkits. 91 - Mohammad Rezaalipour, Carlo A. Furia:
An empirical study of fault localization in Python programs. 92 - Lukas Schulte, Benjamin Ledel, Steffen Herbold:
Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP. 93 - Iman Saberi, Fatemeh H. Fard, Fuxiang Chen:
Utilization of pre-trained language models for adapter-based knowledge transfer in software engineering. 94 - Mohammad Mehdi Morovati, Florian Tambon, Mina Taraghi, Amin Nikanjam, Foutse Khomh:
Common challenges of deep reinforcement learning applications development: an empirical study. 95 - Muhammad Ilyas Azeem, Sallam Abualhaija:
A Multi-solution Study on GDPR AI-enabled Completeness Checking of DPAs. 96 - Rafael Capilla, Victor Salamanca, Alejandro Valdezate, Gregorio Robles:
Can instability variations warn developers when open-source projects boost? 97 - Zhimin Zhao, Yihao Chen, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan:
An empirical study of challenges in machine learning asset management. 98 - Sophie Fortz, Paul Temple, Xavier Devroey, Patrick Heymans, Gilles Perrouin:
VaryMinions: leveraging RNNs to identify variants in variability-intensive systems' logs. 99 - Harsh Patel, Bram Adams, Ahmed E. Hassan:
Post deployment recycling of machine learning models. 100 - Fernando Richter Vidal, Naghmeh Ivaki, Nuno Laranjeiro:
OpenSCV: an open hierarchical taxonomy for smart contract vulnerabilities. 101 - Lissette Almonte, Esther Guerra, Iván Cantador, Juan de Lara:
Engineering recommender systems for modelling languages: concept, tool and evaluation. 102 - Mohamed Amine Batoun, Mohammed Sayagh, Roozbeh Aghili, Ali Ouni, Heng Li:
A literature review and existing challenges on software logging practices. 103
Volume 29, Number 5, September 2024
- Jianyu Wu, Hao He, Kai Gao, Wenxin Xiao, Jingyue Li, Minghui Zhou:
A comprehensive analysis of challenges and strategies for software release notes on GitHub. 104 - Fatemeh Hadadi, Joshua Heneage Dawes, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
Systematic Evaluation of Deep Learning Models for Log-based Failure Prediction. 105 - Mouna Abidi, Md. Saidur Rahman, Moses Openja, Foutse Khomh:
Design smells in multi-language systems and bug-proneness: a survival analysis. 106 - Amin Ghadesi, Maxime Lamothe, Heng Li:
What causes exceptions in machine learning applications? Mining machine learning-related stack traces on Stack Overflow. 107 - Giovanni Rosa, Federico Zappone, Simone Scalabrino, Rocco Oliveto:
Fixing Dockerfile smells: an empirical study. 108 - Ali Arabat, Mohammed Sayagh:
An empirical study on cross-component dependent changes: A case study on the components of OpenStack. 109 - Shenyu Zheng, Bram Adams, Ahmed E. Hassan:
Does using Bazel help speed up continuous integration builds? 110 - Yinghua Li, Xueqi Dang, Lei Ma, Jacques Klein, Tegawendé F. Bissyandé:
Prioritizing test cases for deep learning-based video classifiers. 111 - Xueqi Dang, Yinghua Li, Wei Ma, Yuejun Guo, Qiang Hu, Mike Papadakis, Maxime Cordy, Yves Le Traon:
Towards Exploring the Limitations of Test Selection Techniques on Graph Neural Networks: An Empirical Study. 112 - Kollin Napier, Tanmay Bhowmik, Zhiqian Chen:
Explaining poor performance of text-based machine learning models for vulnerability detection. 113 - Adam Alami, Raúl Pardo, Johan Linåker:
Free open source communities sustainability: Does it make a difference in software quality? 114 - Pooja Rani, Fernando Petrulio, Alberto Bacchelli:
On Refining the SZZ Algorithm with Bug Discussion Data. 115 - Matias Martinez, Maria Kechagia, Anjana Perera, Justyna Petke, Federica Sarro, Aldeida Aleti:
Test-based patch clustering for automatically-generated patches assessment. 116 - Andrei Arusoaie, Stefan-Claudiu Susan:
Towards Trusted Smart Contracts: A Comprehensive Test Suite For Vulnerability Detection. 117 - Hongjing Guo, Chuanqi Tao, Zhiqiu Huang:
Neuron importance-aware coverage analysis for deep neural network testing. 118 - Adam Alami, Mansooreh Zahedi, Oliver Krancher:
The role of psychological safety in promoting software quality in agile teams. 119 - Xiang Chen, Wenlong Pei, Shaoyu Yang, Yanlin Zhou, Zichen Zhang, Jiahua Pei:
Automatic title completion for Stack Overflow posts and GitHub issues. 120 - Benjamin Danglot, Jean-Rémy Falleri, Romain Rouvoy:
Can we spot energy regressions using developers tests? 121 - Bingting Chen, Weiqin Zou, Biyu Cai, Qianshuang Meng, Wenjie Liu, Piji Li, Lin Chen:
An empirical study on the potential of word embedding techniques in bug report management tasks. 122 - Youssef Esseddiq Ouatiti, Mohammed Sayagh, Noureddine Kerzazi, Bram Adams, Ahmed E. Hassan:
The impact of concept drift and data leakage on log level prediction models. 123 - Xunzhu Tang, Haoye Tian, Pingfan Kong, Saad Ezzini, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé:
App review driven collaborative bug finding. 124 - Miguel Setúbal, Tayana Conte, Marcos Kalinowski, Allysson Allex Araújo:
Investigating the online recruitment and selection journey of novice software engineers: Anti-patterns and recommendations. 125 - Markus Borg, Leif Jonsson, Emelie Engström, Béla Bartalos, Attila Szabó:
Adopting automated bug assignment in practice - a longitudinal case study at Ericsson. 126 - Michel Maes-Bermejo, Micael Gallego, Francisco Gortázar, Gregorio Robles, Jesús M. González-Barahona:
Testing the past: can we still run tests in past snapshots for Java projects? 127 - Hocine Rebatchi, Tegawendé F. Bissyandé, Naouel Moha:
Dependabot and security pull requests: large empirical study. 128 - Mingyue Jiang, Chengjian Tang, Xiao-Yi Zhang, Yangyang Zhao, Zuohua Ding:
DDImage: an image reduction based approach for automatically explaining black-box classifiers. 129 - Muhammad Laiq, Nauman Bin Ali, Jürgen Börstler, Emelie Engström:
Industrial adoption of machine learning techniques for early identification of invalid bug reports. 130 - Hareem Sahar, Abdul Ali Bangash, Abram Hindle, Denilson Barbosa:
IRJIT: A simple, online, information retrieval approach for just-in-time software defect prediction. 131 - Aurora Papotti, Ranindya Paramitha, Fabio Massacci:
On the acceptance by code reviewers of candidate security patches suggested by Automated Program Repair tools. 132 - Américo Rio, Fernando Brito e Abreu, Diana Mendes:
Causal inference of server- and client-side code smells in web apps evolution. 133 - Stefan Hanenberg, Johannes Morzeck, Volker Gruhn:
Indentation and reading time: a randomized control trial on the differences between generated indented and non-indented if-statements. 134 - Jacob Krüger, Gül Çalikli, Dmitri Bershadskyy, Siegmar Otto, Sarah Zabel, Robert Heyer:
Guidelines for using financial incentives in software-engineering experimentation. 135 - Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Mouli Chekkapalli, Jiawei Wang, Li Li, Eric Bodden:
Static analysis driven enhancements for comprehension in machine learning notebooks. 136
Volume 29, Number 6, November 2024
- Barbara A. Kitchenham, Lech Madeyski:
Recommendations for analysing and meta-analysing small sample size software engineering experiments. 137 - Neelam Tjikhoeri, Lauren Olson, Emitzá Guzmán:
The best ends by the best means: ethical concerns in app reviews. 138 - Zanis Ali Khan, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
Impact of log parsing on deep learning-based anomaly detection. 139 - Andreas Bauer, Julian Frattini, Emil Alégroth:
Augmented testing to support manual GUI-based regression testing: An empirical study. 140 - Larissa Rocha, Edna Dias Canedo, Claudia Pinto Pereira, Carla Ilane Moreira Bezerra, Fabiana Freitas Mendes:
How does parenthood affect an ICT practitioner's work? A survey study with fathers. 141 - Wenxin Jiang, Vishnu Banna, Naveen Vivek, Abhinav Goel, Nicholas Synovic, George K. Thiruvathukal, James C. Davis:
Challenges and practices of deep learning model reengineering: A case study on computer vision. 142 - Feifei Niu, Enshuo Zhang, Christoph Mayr-Dorn, Wesley Klewerton Guez Assunção, Liguo Huang, Jidong Ge, Bin Luo, Alexander Egyed:
An extensive replication study of the ABLoTS approach for bug localization. 143 - Biruk Asmare Muse, Kawser Wazed Nafi, Foutse Khomh, Giuliano Antoniol:
Data-access performance anti-patterns in data-intensive systems. 144 - Divya M. Kamath, Eduardo Fernandes, Bram Adams, Ahmed E. Hassan:
On combining commit grouping and build skip prediction to reduce redundant continuous integration activity. 145 - Halimeh Agh, Aidin Azamnouri, Stefan Wagner:
Software product line testing: a systematic literature review. 146 - Layan Etaiwi, Pascal Sager, Yann-Gaël Guéhéneuc, Sylvie Hamel:
Consensus task interaction trace recommender to guide developers' software navigation. 147 - Masanari Kondo, Daniel M. Germán, Yasutaka Kamei, Naoyasu Ubayashi, Osamu Mizuno:
An empirical study of token-based micro commits. 148 - Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Ilan Basta, Mouna Abidi, Foutse Khomh:
Quality issues in machine learning software systems. 149 - Huizi Hao, Kazi Amit Hasan, Hong Qin, Marcos Macedo, Yuan Tian, Steven H. H. Ding, Ahmed E. Hassan:
An empirical study on developers' shared conversations with ChatGPT in GitHub pull requests and issues. 150 - George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira, Dinaldo A. Pessoa, Sadia Tabassum:
Correction to: An investigation of online and offline learning models for online just-in-time software defect prediction. 151 - Paulo Malcher, Davi Viana, Pablo Oliveira Antonino, Rodrigo Pereira dos Santos:
Investigating user feedback from a crowd in requirements management in software ecosystems. 152 - Claudia P. Ayala, Cristina Gómez, Martí Manzano, Antonin Abherve, Xavier Franch:
Forecasting software indicators: an industry-academia collaboration. 153 - Shihao Weng, Yang Feng, Yining Yin, Yuxuan Dai, Jia Liu, Zhihong Zhao:
Seeing the invisible: test prioritization for object detection system. 154 - Umme Ayman Koana, Quang Hy Le, Shaikur Raman, Chris Carlson, Francis Chew, Maleknaz Nayebi:
Examining ownership models in software teams. 155 - Costanza Alfieri, Juri Di Rocco, Paola Inverardi, Phuong T. Nguyen:
Exploring user privacy awareness on GitHub: an empirical study. 156 - Lanxin Yang, He Zhang, Jinwei Xu, Jun Lyu, Xin Zhou, Dong Shao, Shan Gao, Alberto Bacchelli:
A prelinary investigation on using multi-task learning to predict change performance in code reviews. 157 - Cong Teng, Liyan Song, Xin Yao:
Online cross-project approach with project-level similarity for just-in-time software defect prediction. 158 - Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang, Bowen Xu:
An empirical study on the effectiveness of large language models for SATD identification and classification. 159 - Kang-Il Park, Jack Johnson, Cole S. Peterson, Nishitha Yedla, Isaac Baysinger, Jairo Aponte, Bonita Sharif:
An eye tracking study assessing source code readability rules for program comprehension. 160 - Carol S. Lee, Catherine M. Hicks:
Understanding and effectively mitigating code review anxiety. 161 - Xuejun Zhang, Xia Hou, Xiuming Qiao, Wenfeng Song:
A review of automatic source code summarization. 162 - Mohamad Khajezade, Fatemeh H. Fard, Mohamed S. Shehata:
Evaluating few-shot and contrastive learning methods for code clone detection. 163
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