- Antonio Curci:
A Comprehensive Framework Proposal to Design Symbiotic AI Systems. EASE 2024: 460-465 - Claudia Maria Cutrupi:
Human-Centered Interventions to Empower Gender Diversity in Software Engineering. EASE 2024: 494-499 - Yen-Trang Dang, Thanh Le-Cong, Phuc-Thanh Nguyen, Anh M. T. Bui, Phuong T. Nguyen, Bach Le, Quyet-Thang Huynh:
LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss. EASE 2024: 181-190 - Xi Ding, Yuan Huang, Xiangping Chen, Jing Bian:
Adversarial Attack and Robustness Improvement on Code Summarization. EASE 2024: 17-27 - Matteo Esposito, Valentina Falaschi, Davide Falessi:
An Extensive Comparison of Static Application Security Testing Tools. EASE 2024: 69-78 - Matteo Esposito, Francesco Palagiano:
Leveraging Large Language Models for Preliminary Security Risk Analysis: A Mission-Critical Case Study. EASE 2024: 442-445 - Therese Fehrer, Rocío Cabrera Lozoya, Antonino Sabetta, Dario Di Nucci, Damian A. Tamburri:
Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers. EASE 2024: 429-432 - Davide La Gamba, Gerardo Iuliano, Gilberto Recupito, Giammaria Giordano, Filomena Ferrucci, Dario Di Nucci, Fabio Palomba:
Toward a Search-Based Approach to Support the Design of Security Tests for Malicious Network Traffic. EASE 2024: 624-628 - Giacomo Garaccione, Riccardo Coppola, Luca Ardito:
Gamifying Business Process Modeling Education: A Longitudinal Study. EASE 2024: 580-589 - Pablo Gómez-Abajo, Sara Pérez-Soler, Pablo C. Cañizares, Esther Guerra, Juan de Lara:
Mutation Testing for Task-Oriented Chatbots. EASE 2024: 232-241 - Diego Gosmar, Elena Peretto, Oita Coleman:
Insight AI Risk Detection Model - Vulnerable People Emotional Situation Support. EASE 2024: 437-441 - Daniela Grassi:
Supporting Developers' Emotional Awareness: from Self-reported Emotions to Biometrics. EASE 2024: 500-504 - Yuchen Guo, Martin J. Shepperd, Ning Li:
Improving classifier-based effort-aware software defect prediction by reducing ranking errors. EASE 2024: 160-169 - Mark Harman:
The Role of Software Measurement in Assured LLM-Based Software Engineering. EASE 2024: 4 - Julian Harty, Arosha K. Bandara:
Taming App Reliability: Mobile Analytics "in the wild". EASE 2024: 450-453 - Jameleddine Hassine:
An LLM-based Approach to Recover Traceability Links between Security Requirements and Goal Models. EASE 2024: 643-651 - Ferenc Horváth, Roland Aszmann, Péter Attila Soha, Árpád Beszédes, Tibor Gyimóthy:
Context Switch Sensitive Fault Localization. EASE 2024: 110-119 - Aleksi Huotala, Miikka Kuutila, Paul Ralph, Mika Mäntylä:
The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews. EASE 2024: 262-271 - Michael Dubem Igbomezie, Phuong T. Nguyen, Davide Di Ruscio:
When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM. EASE 2024: 411-416 - Muhammad Imran, Vittorio Cortellessa, Davide Di Ruscio, Riccardo Rubei, Luca Traini:
An Empirical Study on Code Coverage of Performance Testing. EASE 2024: 48-57 - Fabiano Izzo, Damiano D'Amici:
Harnessing No-Code Blockchain for DeFi: A Microcredit Case Study on AstraKode Blockchain. EASE 2024: 433-436 - Arya Kavian, Mohammad Mehdi Pourhashem Kallehbasti, Sajjad Kazemi, Ehsan Firouzi, Mohammad Ghafari:
LLM Security Guard for Code. EASE 2024: 600-603 - Bruno Kreyssig, Alexandre Bartel:
Analyzing Prerequistes of known Deserializtion Vulnerabilities on Java Applications. EASE 2024: 28-37 - Jahnavi Kumar, Sridhar Chimalakonda:
Code Summarization without Direct Access to Code - Towards Exploring Federated LLMs for Software Engineering. EASE 2024: 100-109 - Stefano Lambiase:
Cultural and Socio-Technical Aspects in Software Development. EASE 2024: 482-487 - Triet Huynh Minh Le, Muhammad Ali Babar, Tung Hoang Thai:
Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT. EASE 2024: 679-685 - Hemasri Sai Lella, Rajrupa Chattaraj, Sridhar Chimalakonda, Kurra Manasa:
Towards Comprehending Energy Consumption of Database Management Systems - A Tool and Empirical Study. EASE 2024: 272-281 - Maurizio Leotta, Hafiz Zeeshan Yousaf, Filippo Ricca, Boni García:
AI-Generated Test Scripts for Web E2E Testing with ChatGPT and Copilot: A Preliminary Study. EASE 2024: 339-344 - Rocío Cabrera Lozoya, Antonino Sabetta, Tommaso Aiello:
Negative Complement of a Set of Vulnerability-Fixing Commits: Method and Dataset. EASE 2024: 446-449 - Marco De Luca, Sergio Di Meglio, Anna Rita Fasolino, Luigi Libero Lucio Starace, Porfirio Tramontana:
Automatic Assessment of Architectural Anti-patterns and Code Smells in Student Software Projects. EASE 2024: 565-569