How can i improve my app? Classifying user reviews for software maintenance and evolution. - Sebastiano Panichella; Andrea Di Sorbo; Emitza Guzman; Corrado Aaron Visaggio; Gerardo Canfora; Harald C. Gall (ICSME, 2015)

Development Emails Content Analyzer: Intention Mining in Developer Discussions (T). - Andrea Di Sorbo; Sebastiano Panichella; Corrado Aaron Visaggio; Massimiliano Di Penta; Gerardo Canfora; Harald C. Gall (ASE, 2015)

DECA: development emails content analyzer. - Andrea Di Sorbo; Sebastiano Panichella; Corrado Aaron Visaggio; Massimiliano Di Penta; Gerardo Canfora; Harald C. Gall (ICSE (Companion Volume), 2016)

Exploring Mobile User Experience Through Code Quality Metrics. - Gerardo Canfora; Andrea Di Sorbo; Francesco Mercaldo; Corrado Aaron Visaggio (PROFES, 2016)

ARdoc: app reviews development oriented classifier. - Sebastiano Panichella; Andrea Di Sorbo; Emitza Guzman; Corrado Aaron Visaggio; Gerardo Canfora; Harald C. Gall (SIGSOFT FSE, 2016)

What would users change in my app? summarizing app reviews for recommending software changes. - Andrea Di Sorbo; Sebastiano Panichella; Carol V. Alexandru; Junji Shimagaki; Corrado Aaron Visaggio; Gerardo Canfora; Harald C. Gall (SIGSOFT FSE, 2016)

SURF: summarizer of user reviews feedback. - Andrea Di Sorbo; Sebastiano Panichella; Carol V. Alexandru; Corrado Aaron Visaggio; Gerardo Canfora (ICSE (Companion Volume), 2017)

Android apps and user feedback: a dataset for software evolution and quality improvement. - Giovanni Grano; Andrea Di Sorbo; Francesco Mercaldo; Corrado Aaron Visaggio; Gerardo Canfora; Sebastiano Panichella (WAMA@ESEC/SIGSOFT FSE, 2017)

A Nlp-based Solution to Prevent from Privacy Leaks in Social Network Posts. - Gerardo Canfora; Andrea Di Sorbo; Enrico Emanuele; Sara Forootani; Corrado Aaron Visaggio (ARES, 2018)

An exploratory study on the evolution of Android malware quality. - Francesco Mercaldo; Andrea Di Sorbo; Corrado Aaron Visaggio; Aniello Cimitile; Fabio Martinelli (J. Softw. Evol. Process., 2018)

Ticket Tagger: Machine Learning Driven Issue Classification. - Rafael Kallis; Andrea Di Sorbo; Gerardo Canfora; Sebastiano Panichella (ICSME, 2019)

"Won't We Fix this Issue?" Qualitative Characterization and Automated Identification of Wontfix Issues on GitHub. - Andrea Di Sorbo; Josef Spillner; Gerardo Canfora; Sebastiano Panichella (CoRR, 2019)

Guest Editors Introduction: Special Issue on User Feedback and Software Quality in the Mobile Domain. - Sebastiano Panichella; Emitza Guzman; Liliana Pasquale; Norbert Seyff; Andrea Di Sorbo (Inf. Softw. Technol., 2019)

Summarizing vulnerabilities' descriptions to support experts during vulnerability assessment activities. - Ernesto Rosario Russo; Andrea Di Sorbo; Corrado Aaron Visaggio; Gerardo Canfora (J. Syst. Softw., 2019)

Action-based Recommendation in Pull-request Development. - Muhammad Ilyas Azeem; Sebastiano Panichella; Andrea Di Sorbo; Alexander Serebrenik; Qing Wang 001 (ICSSP, 2020)

Repadiography: towards a visual support for triaging repackaged apps. - Corrado Aaron Visaggio; Sonia Laudanna; Andrea Di Sorbo; Gerardo Canfora; Sara Caruso; Marianna Fucci (ITASEC, 2020)

Investigating the vulnerability fixing process in OSS projects: Peculiarities and challenges. - Gerardo Canfora; Andrea Di Sorbo; Sara Forootani; Antonio Pirozzi; Corrado Aaron Visaggio (Comput. Secur., 2020)

GasMet: Profiling Gas Leaks in the Deployment of Solidity Smart Contracts. - Gerardo Canfora; Andrea Di Sorbo; Sonia Laudanna; Anna Vacca; Corrado Aaron Visaggio (CoRR, 2020)

Demystifying the adoption of behavior-driven development in open source projects. - Fiorella Zampetti; Andrea Di Sorbo; Corrado Aaron Visaggio; Gerardo Canfora; Massimiliano Di Penta (Inf. Softw. Technol., 2020)

It's a Matter of Style: Detecting Social Bots through Writing Style Consistency. - Matteo Cardaioli; Mauro Conti; Andrea Di Sorbo; Enrico Fabrizio; Sonia Laudanna; Corrado Aaron Visaggio (ICCCN, 2021)

iSCREAM: a suite for Smart Contract REAdability assessMent. - Gerardo Canfora; Andrea Di Sorbo; Michele Fredella; Anna Vacca; Corrado Aaron Visaggio (ICSME, 2021)

An NLP-based Tool for Software Artifacts Analysis. - Andrea Di Sorbo; Corrado Aaron Visaggio; Massimiliano Di Penta; Gerardo Canfora; Sebastiano Panichella (ICSME, 2021)

Exposed! A case study on the vulnerability-proneness of Google Play Apps. - Andrea Di Sorbo; Sebastiano Panichella (Empir. Softw. Eng., 2021)

"Won't We Fix this Issue?" Qualitative characterization and automated identification of wontfix issues on GitHub. - Sebastiano Panichella; Gerardo Canfora; Andrea Di Sorbo (Inf. Softw. Technol., 2021)

How to identify class comment types? A multi-language approach for class comment classification. - Pooja Rani 001; Sebastiano Panichella; Manuel Leuenberger; Andrea Di Sorbo; Oscar Nierstrasz (J. Syst. Softw., 2021)

A systematic literature review of blockchain and smart contract development: Techniques, tools, and open challenges. - Anna Vacca; Andrea Di Sorbo; Corrado Aaron Visaggio; Gerardo Canfora (J. Syst. Softw., 2021)

Predicting issue types on GitHub. - Rafael Kallis; Andrea Di Sorbo; Gerardo Canfora; Sebastiano Panichella (Sci. Comput. Program., 2021)

Investigating the criticality of user-reported issues through their relations with app rating. - Andrea Di Sorbo; Giovanni Grano; Corrado Aaron Visaggio; Sebastiano Panichella (J. Softw. Evol. Process., 2021)

Exploiting Natural Language Structures in Software Informal Documentation. - Andrea Di Sorbo; Sebastiano Panichella; Corrado Aaron Visaggio; Massimiliano Di Penta; Gerardo Canfora; Harald C. Gall (IEEE Trans. Software Eng., 2021)

An empirical investigation on the trade-off between smart contract readability and gas consumption. - Anna Vacca; Michele Fredella; Andrea Di Sorbo; Corrado Aaron Visaggio; Gerardo Canfora (ICPC, 2022)

NLBSE'22 Tool Competition. - Rafael Kallis; Oscar Chaparro; Andrea Di Sorbo; Sebastiano Panichella (NLBSE, 2022)

An Exploratory Study on the Usage of Gherkin Features in Open-Source Projects. - Adwait Chandorkar; Nitish Patkar; Andrea Di Sorbo; Oscar Nierstrasz (SANER, 2022)

An Exploratory Study on Self-Fixed Software Vulnerabilities in OSS Projects. - Sara Forootani; Andrea Di Sorbo; Corrado Aaron Visaggio (SANER, 2022)

A systematic literature review of IoT time series anomaly detection solutions. - Arnaldo Sgueglia; Andrea Di Sorbo; Corrado Aaron Visaggio; Gerardo Canfora (Future Gener. Comput. Syst., 2022)

Patchworking: Exploring the code changes induced by vulnerability fixing activities. - Gerardo Canfora; Andrea Di Sorbo; Sara Forootani; Matias Martinez; Corrado Aaron Visaggio (Inf. Softw. Technol., 2022)

Profiling gas consumption in solidity smart contracts. - Andrea Di Sorbo; Sonia Laudanna; Anna Vacca; Corrado Aaron Visaggio; Gerardo Canfora (J. Syst. Softw., 2022)

Message from Program Chairs: NLBSE 2023. - Sebastiano Panichella; Andrea Di Sorbo (NLBSE@ICSE, 2023)

Can Twitter be used to Acquire Reliable Alerts against Novel Cyber Attacks? - Dincy R. Arikkat; P. Vinod 001; Rafidha Rehiman K. A.; Andrea Di Sorbo; Corrado Aaron Visaggio; Mauro Conti (CoRR, 2023)

Summary of the 1st Natural Language-based Software Engineering Workshop (NLBSE 2022). - Andrea Di Sorbo; Sebastiano Panichella (ACM SIGSOFT Softw. Eng. Notes, 2023)

Automated Identification and Qualitative Characterization of Safety Concerns Reported in UAV Software Platforms. - Andrea Di Sorbo; Fiorella Zampetti; Aaron Visaggio; Massimiliano Di Penta; Sebastiano Panichella (ACM Trans. Softw. Eng. Methodol., 2023)

Summary of the 2nd Natural Language-based Software Engineering Workshop (NLBSE 2023). - Sebastiano Panichella; Andrea Di Sorbo (ACM SIGSOFT Softw. Eng. Notes, 2023)

SBOM Ouverture: What We Need and What We Have. - Gregorio Dalia; Corrado Aaron Visaggio; Andrea Di Sorbo; Gerardo Canfora (ARES, 2024)

Exploring Writing Style Consistency to Timely Identify Heterogeneous Social Bots. - Sonia Laudanna; Matteo Cardaioli; Andrea Di Sorbo; Corrado Aaron Visaggio; Mauro Conti (ASONAM (Workshops), 2024)

Poster: A Multi-step Approach for Classification of Malware Samples. - Arnaldo Sgueglia; Rocco Addabbo; Andrea Di Sorbo; Stanislav Dashevskyi; Daniel Ricardo dos Santos; Corrado Aaron Visaggio (CCS, 2024)

FRINGE: context-aware FaiRness engineerING in complex software systEms. - Fabio Palomba; Andrea Di Sorbo; Davide Di Ruscio; Filomena Ferrucci; Gemma Catolino; Giammaria Giordano; Dario Di Dario; Gianmario Voria; Viviana Pentangelo; Maria Tortorella; Arnaldo Sgueglia; Claudio Di Sipio; et al. (ESEM, 2024)

Beyond Words: Stylometric Analysis for Detecting AI Manipulation on Social Media. - Ubaid Ullah; Sonia Laudanna; P. Vinod 001; Andrea Di Sorbo; Corrado Aaron Visaggio; Gerardo Canfora (ESORICS (1), 2024)

Identifying safety-critical concerns in unmanned aerial vehicle software platforms with SALIENT. - Sajad Khatiri; Andrea Di Sorbo; Fiorella Zampetti; Corrado Aaron Visaggio; Massimiliano Di Penta; Sebastiano Panichella (SoftwareX, 2024)

Functional suitability assessment of smart contracts: A survey and first proposal. - Anna Vacca; Michele Fredella; Andrea Di Sorbo; Corrado Aaron Visaggio; Mario Piattini (J. Softw. Evol. Process., 2024)

Behind Enemy Lines: Strengthening Android Malware Detection with Adversarial Training. - Sonia Laudanna; Mattia Marino; Andrea Di Sorbo; P. Vinod 001; Corrado Aaron Visaggio; Gerardo Canfora (ARES (EU Projects Symposium Workshops 1), 2025)

Message from NLBSE 2025 Program Chairs. - Maliheh Izadi; Andrea Di Sorbo; Sebastiano Panichella (NLBSE@ICSE, 2025)

SecDefender: Detecting low-quality models in multidomain federated learning systems. - K. M. Sameera; Arnaldo Sgueglia; P. Vinod 001; Rafidha Rehiman K. A.; Corrado Aaron Visaggio; Andrea Di Sorbo; Mauro Conti (Future Gener. Comput. Syst., 2025)

It's Acting Odd! Exploring Equivocal Behaviors of Goodware. - Gregorio Dalia; Andrea Di Sorbo; Corrado Aaron Visaggio; Gerardo Canfora (Proc. ACM Softw. Eng., 2025)

Transformer or Autoencoder? Who is the ultimate adversary for attack detectors? - Sonia Laudanna; Andrea Di Sorbo; Vinod Puthuvath; Corrado Aaron Visaggio; Gerardo Canfora (Int. J. Inf. Sec., 2025)

Discerning reliable cyber threat indicators for timely Cyber Threat Intelligence. - Dincy R. Arikkat; P. Vinod 001; Rafidha Rehiman K. A.; Corrado Aaron Visaggio; Andrea Di Sorbo; Mauro Conti (J. Comput. Virol. Hacking Tech., 2025)