Andrea Di Sorbo

Orcid: 0000-0002-3192-739X

According to our database1, Andrea Di Sorbo authored at least 41 papers between 2015 and 2023.

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Bibliography

2023
Summary of the 2nd Natural Language-based Software Engineering Workshop (NLBSE 2023).
ACM SIGSOFT Softw. Eng. Notes, October, 2023

Automated Identification and Qualitative Characterization of Safety Concerns Reported in UAV Software Platforms.
ACM Trans. Softw. Eng. Methodol., May, 2023

Summary of the 1st Natural Language-based Software Engineering Workshop (NLBSE 2022).
ACM SIGSOFT Softw. Eng. Notes, January, 2023

Can Twitter be used to Acquire Reliable Alerts against Novel Cyber Attacks?
CoRR, 2023

Message from Program Chairs: NLBSE 2023.
Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023

2022
Profiling gas consumption in solidity smart contracts.
J. Syst. Softw., 2022

Patchworking: Exploring the code changes induced by vulnerability fixing activities.
Inf. Softw. Technol., 2022

A systematic literature review of IoT time series anomaly detection solutions.
Future Gener. Comput. Syst., 2022

An Exploratory Study on Self-Fixed Software Vulnerabilities in OSS Projects.
Proceedings of the IEEE International Conference on Software Analysis, 2022

An Exploratory Study on the Usage of Gherkin Features in Open-Source Projects.
Proceedings of the IEEE International Conference on Software Analysis, 2022

NLBSE'22 Tool Competition.
Proceedings of the 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE 2022), 2022

An empirical investigation on the trade-off between smart contract readability and gas consumption.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

2021
Exploiting Natural Language Structures in Software Informal Documentation.
IEEE Trans. Software Eng., 2021

Investigating the criticality of user-reported issues through their relations with app rating.
J. Softw. Evol. Process., 2021

Predicting issue types on GitHub.
Sci. Comput. Program., 2021

A systematic literature review of blockchain and smart contract development: Techniques, tools, and open challenges.
J. Syst. Softw., 2021

How to identify class comment types? A multi-language approach for class comment classification.
J. Syst. Softw., 2021

"<i>Won't We Fix this Issue?</i>" Qualitative characterization and automated identification of wontfix issues on GitHub.
Inf. Softw. Technol., 2021

Exposed! A case study on the vulnerability-proneness of Google Play Apps.
Empir. Softw. Eng., 2021

An NLP-based Tool for Software Artifacts Analysis.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

iSCREAM: a suite for Smart Contract REAdability assessMent.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

It's a Matter of Style: Detecting Social Bots through Writing Style Consistency.
Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

2020
Demystifying the adoption of behavior-driven development in open source projects.
Inf. Softw. Technol., 2020

GasMet: Profiling Gas Leaks in the Deployment of Solidity Smart Contracts.
CoRR, 2020

Investigating the vulnerability fixing process in OSS projects: Peculiarities and challenges.
Comput. Secur., 2020

Repadiography: towards a visual support for triaging repackaged apps.
Proceedings of the Fourth Italian Conference on Cyber Security, 2020

Action-based Recommendation in Pull-request Development.
Proceedings of the ICSSP '20: International Conference on Software and System Processes, 2020

2019
Summarizing vulnerabilities' descriptions to support experts during vulnerability assessment activities.
J. Syst. Softw., 2019

Guest Editors Introduction: Special Issue on User Feedback and Software Quality in the Mobile Domain.
Inf. Softw. Technol., 2019

"Won't We Fix this Issue?" Qualitative Characterization and Automated Identification of Wontfix Issues on GitHub.
CoRR, 2019

Ticket Tagger: Machine Learning Driven Issue Classification.
Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

2018
An exploratory study on the evolution of Android malware quality.
J. Softw. Evol. Process., 2018

A Nlp-based Solution to Prevent from Privacy Leaks in Social Network Posts.
Proceedings of the 13th International Conference on Availability, Reliability and Security, 2018

2017
Android apps and user feedback: a dataset for software evolution and quality improvement.
Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics, 2017

SURF: summarizer of user reviews feedback.
Proceedings of the 39th International Conference on Software Engineering, 2017

2016
What would users change in my app? summarizing app reviews for recommending software changes.
Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

ARdoc: app reviews development oriented classifier.
Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Exploring Mobile User Experience Through Code Quality Metrics.
Proceedings of the Product-Focused Software Process Improvement, 2016

DECA: development emails content analyzer.
Proceedings of the 38th International Conference on Software Engineering, 2016

2015
Development Emails Content Analyzer: Intention Mining in Developer Discussions (T).
Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering, 2015

How can i improve my app? Classifying user reviews for software maintenance and evolution.
Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution, 2015


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