| 2024 | "Looks Good To Me ;-)": Assessing Sentiment Analysis Tools for Pull Request Discussions. Daniel Coutinho, Luisa Cito, Maria Vitória Lima, Beatriz Arantes, Juliana Alves Pereira, Johny Arriel, João Godinho, Vinicius Martins, Paulo Vítor C. F. Libório, Leonardo Pedrosa Leite, Alessandro Garcia, Wesley K. G. Assunção, Igor Steinmacher, Augusto Baffa, Baldoino Fonseca |
| 2024 | 5G Secure Solution Development and Security Master Role. Muhammad Ovais Ahmad |
| 2024 | A Catalog of Transformations to Remove Smells From Natural Language Tests. Manoel Aranda III, Naelson Oliveira, Elvys Soares, Márcio Ribeiro, Davi Romão, Ullyanne Patriota, Rohit Gheyi, Emerson Souza, Ivan Machado |
| 2024 | A Comprehensive Framework Proposal to Design Symbiotic AI Systems. Antonio Curci |
| 2024 | A Folklore Confirmation on the Removal of Dead Code. Simone Romano, Giovanni Toriello, Pietro Cassieri, Rita Francese, Giuseppe Scanniello |
| 2024 | A Performance Study of LLM-Generated Code on Leetcode. Tristan Coignion, Clément Quinton, Romain Rouvoy |
| 2024 | A Quantitative Investigation of Trends in Confusing Variable Pairs Through Commits: Do Confusing Variable Pairs Survive? Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara |
| 2024 | AI-Generated Test Scripts for Web E2E Testing with ChatGPT and Copilot: A Preliminary Study. Maurizio Leotta, Hafiz Zeeshan Yousaf, Filippo Ricca, Boni García |
| 2024 | AI-based Code Generation: Achievements and Open Problems. Gabriele Bavota |
| 2024 | AI-enabled efficient PVM performance monitoring. Mario Veniero, Davide Varriale |
| 2024 | Adapting to Change: Software Project Management in the Era of Security in Cloud Computing. Giusy Annunziata |
| 2024 | Adversarial Attack and Robustness Improvement on Code Summarization. Xi Ding, Yuan Huang, Xiangping Chen, Jing Bian |
| 2024 | Agent-Driven Automatic Software Improvement. Fernando Vallecillos Ruiz |
| 2024 | Aligning Academic with Industrial Needs: Investigating DevOps. Saima Rafi, Muhammad Azeem Akbar, Sajjad Mahmood |
| 2024 | An Empirical Investigation of the Security Weaknesses in Open-Source Projects. Haifa Abdullah Al-Shammare, Nehal Al-Otaiby, Muradi Al-Otabi, Mohammad R. Alshayeb |
| 2024 | An Empirical Study on Code Coverage of Performance Testing. Muhammad Imran, Vittorio Cortellessa, Davide Di Ruscio, Riccardo Rubei, Luca Traini |
| 2024 | An Empirical Study on How Large Language Models Impact Software Testing Learning. Simone Mezzaro, Alessio Gambi, Gordon Fraser |
| 2024 | An Empirical Study on the Energy Usage and Performance of Pandas and Polars Data Analysis Python Libraries. Felix Nahrstedt, Mehdi Karmouche, Karolina Bargiel, Pouyeh Banijamali, Apoorva Nalini Pradeep Kumar, Ivano Malavolta |
| 2024 | An Empirically Grounded Reference Architecture for Software Supply Chain Metadata Management. Nguyen Khoi Tran, Samodha Pallewatta, Muhammad Ali Babar |
| 2024 | An Extensive Comparison of Static Application Security Testing Tools. Matteo Esposito, Valentina Falaschi, Davide Falessi |
| 2024 | An LLM-based Approach to Recover Traceability Links between Security Requirements and Goal Models. Jameleddine Hassine |
| 2024 | Analyzing Prerequistes of known Deserializtion Vulnerabilities on Java Applications. Bruno Kreyssig, Alexandre Bartel |
| 2024 | Analyzing the Accessibility of GitHub Repositories for PyPI and NPM Libraries. Alexandros Tsakpinis, Alexander Pretschner |
| 2024 | Assessing healthcare software built using IoT and LLM technologies. Gabriele De Vito |
| 2024 | Automated Software Vulnerability Detection in Statement Level using Vulnerability Reports. Rabaya Sultana Mim, Toukir Ahammed, Kazi Sakib |
| 2024 | Automated categorization of pre-trained models in software engineering: A case study with a Hugging Face dataset. Claudio Di Sipio, Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen |
| 2024 | Automated evaluation of game content display using deep learning. Ciprian Paduraru, Marina Cernat, Alin Stefanescu |
| 2024 | Automatic Assessment of Architectural Anti-patterns and Code Smells in Student Software Projects. Marco De Luca, Sergio Di Meglio, Anna Rita Fasolino, Luigi Libero Lucio Starace, Porfirio Tramontana |
| 2024 | Automatic detection and correction of code errors applying machine learning - current research state. Aneta Poniszewska-Maranda, Wiktoria Sarniak |
| 2024 | CLAIM: a Lightweight Approach to Identify Microservices in Dockerized Environments. Kevin Maggi, Roberto Verdecchia, Leonardo Scommegna, Enrico Vicario |
| 2024 | Challenges in Developing Secure Software within Agile Environments. Reem Alshareef, Esra'a Alshabeeb, Noor Alakkas, Mahmood Khan Niazi |
| 2024 | Code Summarization without Direct Access to Code - Towards Exploring Federated LLMs for Software Engineering. Jahnavi Kumar, Sridhar Chimalakonda |
| 2024 | Context Switch Sensitive Fault Localization. Ferenc Horváth, Roland Aszmann, Péter Attila Soha, Árpád Beszédes, Tibor Gyimóthy |
| 2024 | Cultural and Socio-Technical Aspects in Software Development. Stefano Lambiase |
| 2024 | Data Quality Assessment in the Wild: Findings from GitHub. Ipek Ustunboyacioglu, Indika Kumara, Dario Di Nucci, Damian Andrew Tamburri, Willem-Jan van den Heuvel |
| 2024 | Dealing with clinical outcome and fair cost: the FIDCARE platform. Raffaele Chianese, Leopoldo Beneduce, Francesco Gargiulo, Stefano Marrone, Laura Verde |
| 2024 | Design and Evaluation of High-Quality Symbiotic AI Systems through a Human-Centered Approach. Miriana Calvano |
| 2024 | Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers. Therese Fehrer, Rocío Cabrera Lozoya, Antonino Sabetta, Dario Di Nucci, Damian A. Tamburri |
| 2024 | Does trainer gender make a difference when delivering phishing training? A new experimental design to capture bias. André Palheiros Da Silva, Winnie Mbaka, Johann Mayer, Jan-Willem Bullee, Katja Tuma |
| 2024 | Evidence-Based Research for Supporting Software Security in Software Development: Methodological Challenges & Strategies. Muhammad Ali Babar |
| 2024 | Exploring Influence of Feature Toggles on Code Complexity. Tajmilur Rahman, Imran Shalabi, Tushar Sharma |
| 2024 | Exploring students' opinion on software testing courses. Felix Cammaerts, Porfirio Tramontana, Ana C. R. Paiva, Nuno Flores, Fernando Pastor Ricós, Monique Snoeck |
| 2024 | Gamifying Business Process Modeling Education: A Longitudinal Study. Giacomo Garaccione, Riccardo Coppola, Luca Ardito |
| 2024 | Harnessing No-Code Blockchain for DeFi: A Microcredit Case Study on AstraKode Blockchain. Fabiano Izzo, Damiano D'Amici |
| 2024 | How Much Logs Does My Source Code File Need? Learning to Predict the Density of Logs. Mohamed Amine Batoun, Mohammed Sayagh, Ali Ouni |
| 2024 | How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching. Antonio Mastropaolo, Vittoria Nardone, Gabriele Bavota, Massimiliano Di Penta |
| 2024 | Human-Centered Interventions to Empower Gender Diversity in Software Engineering. Claudia Maria Cutrupi |
| 2024 | Improving classifier-based effort-aware software defect prediction by reducing ranking errors. Yuchen Guo, Martin J. Shepperd, Ning Li |
| 2024 | Insight AI Risk Detection Model - Vulnerable People Emotional Situation Support. Diego Gosmar, Elena Peretto, Oita Coleman |
| 2024 | Insights Into Test Code Quality Prediction: Managing Machine Learning Techniques. Valeria Pontillo |
| 2024 | Integrating Security and Privacy in Quantum Software Engineering. Vita Santa Barletta, Danilo Caivano, Anibrata Pal |
| 2024 | Issues and Their Causes in WebAssembly Applications: An Empirical Study. Muhammad Waseem, Teerath Das, Aakash Ahmad, Peng Liang, Tommi Mikkonen |
| 2024 | LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss. Yen-Trang Dang, Thanh Le-Cong, Phuc-Thanh Nguyen, Anh M. T. Bui, Phuong T. Nguyen, Bach Le, Quyet-Thang Huynh |
| 2024 | LLM Security Guard for Code. Arya Kavian, Mohammad Mehdi Pourhashem Kallehbasti, Sajjad Kazemi, Ehsan Firouzi, Mohammad Ghafari |
| 2024 | LLM-Based Chatbots for Mining Software Repositories: Challenges and Opportunities. Samuel Abedu, Ahmad Abdellatif, Emad Shihab |
| 2024 | Learning Programming without Teachers: An Ongoing Ethnographic Study at 42. Nicolò Pollini, Kevin Maggi, Roberto Verdecchia, Enrico Vicario |
| 2024 | Leveraging Large Language Models for Preliminary Security Risk Analysis: A Mission-Critical Case Study. Matteo Esposito, Francesco Palagiano |
| 2024 | Leveraging Statistical Machine Translation for Code Search. Hung Phan, Ali Jannesari |
| 2024 | MLOps-Enabled Security Strategies for Next-Generation Operational Technologies. Tazeem Ahmad, Mohd Adnan, Saima Rafi, Muhammad Azeem Akbar, Ayesha Anwar |
| 2024 | Mining REST APIs for Potential Mass Assignment Vulnerabilities. Arash Mazidi, Davide Corradini, Mohammad Ghafari |
| 2024 | Motivation Research Using Labeling Functions. Idan Amit, Dror G. Feitelson |
| 2024 | Multivocal Literature Review on DevOps Critical Success Factors. Nasreen Azad, Sami Hyrynsalmi |
| 2024 | Mutation Testing for Task-Oriented Chatbots. Pablo Gómez-Abajo, Sara Pérez-Soler, Pablo C. Cañizares, Esther Guerra, Juan de Lara |
| 2024 | Negative Complement of a Set of Vulnerability-Fixing Commits: Method and Dataset. Rocío Cabrera Lozoya, Antonino Sabetta, Tommaso Aiello |
| 2024 | New experimental design to capture bias using LLM to validate security threats. Winnie Bahati Mbaka |
| 2024 | On the Accuracy of GitHub's Dependency Graph. Daniele Bifolco, Sabato Nocera, Simone Romano, Massimiliano Di Penta, Rita Francese, Giuseppe Scanniello |
| 2024 | On the Use of ChatGPT for Code Review: Do Developers Like Reviews By ChatGPT? Miku Watanabe, Yutaro Kashiwa, Bin Lin, Toshiki Hirao, Ken-ichi Yamaguchi, Hajimu Iida |
| 2024 | Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, EASE 2024, Salerno, Italy, June 18-21, 2024 |
| 2024 | Quantum-based Automotive Threat Intelligence and Countermeasures. Vita Santa Barletta, Danilo Caivano, Christian Catalano, Mirko De Vincentiis |
| 2024 | Reality Check: Assessing GPT-4 in Fixing Real-World Software Vulnerabilities. Zoltán Ságodi, Gábor Antal, Bence Bogenfürst, Martin Isztin, Péter Hegedüs, Rudolf Ferenc |
| 2024 | Securing Agile: Assessing the Impact of Security Activities on Agile Development. Arpit Thool, Chris Brown |
| 2024 | Security Risk Assessment on Cloud: A Systematic Mapping Study. Giusy Annunziata, Alexandra Sheykina, Fabio Palomba, Andrea De Lucia, Gemma Catolino, Filomena Ferrucci |
| 2024 | Semgrep*: Improving the Limited Performance of Static Application Security Testing (SAST) Tools. Gareth Bennett, Tracy Hall, Emily Winter, Steve Counsell |
| 2024 | Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT. Triet Huynh Minh Le, Muhammad Ali Babar, Tung Hoang Thai |
| 2024 | Study for Integrating IoT-IDS Datasets: Machine and Deep Learning for Secure IoT Network System. Shalli Rani, Ankita Sharma, Muhammad Zohaib |
| 2024 | Supporting Developers' Emotional Awareness: from Self-reported Emotions to Biometrics. Daniela Grassi |
| 2024 | Surfing the AI Wave in Software Engineering: Opportunities and Challenges. Nicole Novielli |
| 2024 | Sustainability in Blockchain Development: A BERT-Based Analysis of Ethereum Developer Discussions. Matteo Vaccargiu, Sabrina Aufiero, Silvia Bartolucci, Rumyana Neykova, Roberto Tonelli, Giuseppe Destefanis |
| 2024 | Taming App Reliability: Mobile Analytics "in the wild". Julian Harty, Arosha K. Bandara |
| 2024 | Teaching Scrum with a focus on efficiency and inclusiveness. Marco Torchiano, Antonio Vetrò, Riccardo Coppola |
| 2024 | The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews. Aleksi Huotala, Miikka Kuutila, Paul Ralph, Mika Mäntylä |
| 2024 | The Role of Software Measurement in Assured LLM-Based Software Engineering. Mark Harman |
| 2024 | The Security Culture Readiness Model (SCRM) for Saudi Universities: A Preliminary Structure. Mona Albinali, Mahmood Khan Niazi |
| 2024 | Toward a Human-Centered Framework for Trustworthy, Safe and Ethical Generative Artificial Intelligence: A Multi-Level Analysis of Large Language Models Social Impact. Berenice Fernández Nieto |
| 2024 | Toward a Search-Based Approach to Support the Design of Security Tests for Malicious Network Traffic. Davide La Gamba, Gerardo Iuliano, Gilberto Recupito, Giammaria Giordano, Filomena Ferrucci, Dario Di Nucci, Fabio Palomba |
| 2024 | Towards Comprehending Energy Consumption of Database Management Systems - A Tool and Empirical Study. Hemasri Sai Lella, Rajrupa Chattaraj, Sridhar Chimalakonda, Kurra Manasa |
| 2024 | Towards People Maturity for Secure Development and Operations: A vision. Muhammad Azeem Akbar, Saima Rafi, Sami Hyrynsalmi, Arif Ali Khan |
| 2024 | Towards Predicting Fragility in End-to-End Web Tests. Sergio Di Meglio, Luigi Libero Lucio Starace |
| 2024 | Towards Semi-Automated Merge Conflict Resolution: Is It Easier Than We Expected? Alexander Boll, Yael Van Dok, Manuel Ohrndorf, Alexander Schultheiß, Timo Kehrer |
| 2024 | Towards the successful execution of DevOps outsource software development process. Muhammad Zohaib, Fahad S. Altuwaijri, Muhammad Awais |
| 2024 | Triaging Microservice Security Smells, with TriSS. Francisco Ponce, Jacopo Soldani, Carla Taramasco, Hernán Astudillo, Antonio Brogi |
| 2024 | Trustworthy AI in practice: an analysis of practitioners' needs and challenges. Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski, Azzurra Ragone, Sara Tibidò |
| 2024 | Understanding Logical Expressions with Negations: Its Complicated. Aviad Baron, Ilai Granot, Ron Yosef, Dror G. Feitelson |
| 2024 | Unraveling the Influences on Bug Fixing Time: A Comparative Analysis of Causal Inference Model. Sien Reeve Ordonez Peralta, Hironori Washizaki, Yoshiaki Fukazawa, Yuki Noyori, Shuhei Nojiri, Hideyuki Kanuka |
| 2024 | Unveiling iOS Scamwares through Crowdturfing Reviews. Zhipeng Xu, Ming Liu, Zhushou Tang, Yijun Wang |
| 2024 | Using Large Language Models to Generate JUnit Tests: An Empirical Study. Mohammed Latif Siddiq, Joanna Cecilia da Silva Santos, Ridwanul Hasan Tanvir, Noshin Ulfat, Fahmid Al Rifat, Vinicius Carvalho Lopes |
| 2024 | VulDL: Tree-based and Graph-based Neural Networks for Vulnerability Detection and Localization. Jingzheng Wu, Xiang Ling, Xu Duan, Tianyue Luo, Mutian Yang |
| 2024 | Vulnerability Detection for software-intensive system. Refat Tahseen Othman |
| 2024 | What You Use is What You Get: Unforced Errors in Studying Cultural Aspects in Agile Software Development. Michael Neumann, Klaus Schmid, Lars Baumann |
| 2024 | When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM. Michael Dubem Igbomezie, Phuong T. Nguyen, Davide Di Ruscio |
| 2024 | Why Large Language Models will (not) Kill Software Engineering Research. Massimiliano Di Penta |