Dario Di Nucci

Orcid: 0000-0002-3861-1902

Affiliations:
  • University of Salerno, Italy


According to our database1, Dario Di Nucci authored at least 69 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Machine learning-based test smell detection.
Empir. Softw. Eng., April, 2024

SolAR: Automated test-suite generation for solidity smart contracts.
Sci. Comput. Program., January, 2024

When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems.
CoRR, 2024

Architectural Design Decisions for Self-Serve Data Platforms in Data Meshes.
CoRR, 2024

2023
A text classification approach to API type resolution for incomplete code snippets.
Sci. Comput. Program., April, 2023

Go Serverless With RADON! A Practical DevOps Experience Report.
IEEE Softw., 2023

The Quantum Frontier of Software Engineering: A Systematic Mapping Study.
CoRR, 2023

Data Mesh: a Systematic Gray Literature Review.
CoRR, 2023

ADAS Verification in Co-Simulation: Towards a Meta-Model for Defining Test Scenarios.
Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2023, 2023

2022
Within-Project Defect Prediction of Infrastructure-as-Code Using Product and Process Metrics.
IEEE Trans. Software Eng., 2022

Special Issue on Software Health of Software Ecosystems.
Sci. Comput. Program., 2022

Software engineering for quantum programming: How far are we?
J. Syst. Softw., 2022

The making of accessible Android applications: an empirical study on the state of the practice.
Empir. Softw. Eng., 2022

FindICI: Using machine learning to detect linguistic inconsistencies between code and natural language descriptions in infrastructure-as-code.
Empir. Softw. Eng., 2022

A preliminary evaluation on the relationship among architectural and test smells.
Proceedings of the 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, 2022

Towards Quantum-algorithms-as-a-service.
Proceedings of the 1st International Workshop on Quantum Programming for Software Engineering, 2022

Defuse: A Data Annotator and Model Builder for Software Defect Prediction.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

A Multivocal Literature Review of MLOps Tools and Features.
Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

Exploiting dynamic analysis for architectural smell detection: a preliminary study.
Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

2021
Adaptive selection of classifiers for bug prediction: A large-scale empirical analysis of its performances and a benchmark study.
Sci. Comput. Program., 2021

Prioritising Server Bugs via Inter-process Concolic Testing.
Art Sci. Eng. Program., 2021

The do's and don'ts of infrastructure code: A systematic gray literature review.
Inf. Softw. Technol., 2021

RepoMiner: a Language-agnostic Python Framework to Mine Software Repositories for Defect Prediction.
CoRR, 2021

Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers.
CoRR, 2021

AGSolT: a Tool for Automated Test-Case Generation for Solidity Smart Contracts.
CoRR, 2021

Toward Automated Exploit Generation for Known Vulnerabilities in Open-Source Libraries.
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

2020
A Test Case Prioritization Genetic Algorithm Guided by the Hypervolume Indicator.
IEEE Trans. Software Eng., 2020

AnsibleMetrics: A Python library for measuring Infrastructure-as-Code blueprints in Ansible.
SoftwareX, 2020

A large empirical assessment of the role of data balancing in machine-learning-based code smell detection.
J. Syst. Softw., 2020

Toward a catalog of software quality metrics for infrastructure code.
J. Syst. Softw., 2020

Third-party libraries in mobile apps.
Empir. Softw. Eng., 2020

Towards a Catalogue of Software Quality Metrics for Infrastructure Code.
CoRR, 2020

Singling the odd ones out: a novelty detection approach to find defects in infrastructure-as-code.
Proceedings of the 4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, 2020

DeepIaC: deep learning-based linguistic anti-pattern detection in IaC.
Proceedings of the 4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, 2020

Refactoring Android-specific Energy Smells: A Plugin for Android Studio.
Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

A Delta-Debugging Approach to Assessing the Resilience of Actor Programs through Run-time Test Perturbations.
Proceedings of the AST@ICSE 2020: IEEE/ACM 1st International Conference on Automation of Software Test, 2020

DevOps and Quality Management in Serverless Computing: The RADON Approach.
Proceedings of the Advances in Service-Oriented and Cloud Computing, 2020

Counterterrorism for Cyber-Physical Spaces: A Computer Vision Approach.
Proceedings of the AVI '20: International Conference on Advanced Visual Interfaces, Island of Ischia, Italy, September 28, 2020

2019
Scented since the beginning: On the diffuseness of test smells in automatically generated test code.
J. Syst. Softw., 2019

On the impact of code smells on the energy consumption of mobile applications.
Inf. Softw. Technol., 2019

Mining Scala Framework Extensions for Recommendation Patterns.
Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

On the role of data balancing for machine learning-based code smell detection.
Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, 2019

SoCRATES: Scala radar for test smells.
Proceedings of the Tenth ACM SIGPLAN Symposium on Scala, 2019

A Language-Parametric Modular Framework for Mining Idiomatic Code Patterns.
Proceedings of the Seminar Series on Advanced Techniques & Tools for Software Evolution (SATTOSE 2019), 2019

Assessing diffusion and perception of test smells in scala projects.
Proceedings of the 16th International Conference on Mining Software Repositories, 2019

Comparing heuristic and machine learning approaches for metric-based code smell detection.
Proceedings of the 27th International Conference on Program Comprehension, 2019

Cross-project just-in-time bug prediction for mobile apps: an empirical assessment.
Proceedings of the 6th International Conference on Mobile Software Engineering and Systems, 2019

Mining Patterns in Source Code Using Tree Mining Algorithms.
Proceedings of the Discovery Science - 22nd International Conference, 2019

2018
A Developer Centered Bug Prediction Model.
IEEE Trans. Software Eng., 2018

Detecting code smells using machine learning techniques: Are we there yet?
Proceedings of the 25th International Conference on Software Analysis, 2018

The role of meta-learners in the adaptive selection of classifiers.
Proceedings of the 2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation, 2018

A graph-based dataset of commit history of real-world Android apps.
Proceedings of the 15th International Conference on Mining Software Repositories, 2018

Omniscient DevOps Analytics.
Proceedings of the Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment, 2018

OCELOT: a search-based test-data generation tool for C.
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Do developers update third-party libraries in mobile apps?
Proceedings of the 26th Conference on Program Comprehension, 2018

Methods and Tools for Focusing and Prioritizing the Testing Effort.
Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018

Self-reported activities of Android developers.
Proceedings of the 5th International Conference on Mobile Software Engineering and Systems, MOBILESoft@ICSE 2018, Gothenburg, Sweden, May 27, 2018

Evaluating the Adaptive Selection of Classifiers for Cross-Project Bug Prediction.
Proceedings of the 6th IEEE/ACM International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2018

Mining Extension Point Patterns in Scala.
Proceedings of the 17th Belgium-Netherlands Software Evolution Workshop, Delft, the Netherlands, December 10th - to, 2018

2017
Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Lightweight detection of Android-specific code smells: The aDoctor project.
Proceedings of the IEEE 24th International Conference on Software Analysis, 2017

Software-based energy profiling of Android apps: Simple, efficient and reliable?
Proceedings of the IEEE 24th International Conference on Software Analysis, 2017

PETrA: a software-based tool for estimating the energy profile of Android applications.
Proceedings of the 39th International Conference on Software Engineering, 2017

2016
Search-Based Testing of Procedural Programs: Iterative Single-Target or Multi-target Approach?
Proceedings of the Search Based Software Engineering - 8th International Symposium, 2016

On the diffusion of test smells in automatically generated test code: an empirical study.
Proceedings of the 9th International Workshop on Search-Based Software Testing, 2016

2015
ICSE 2015 SIGSOFT CAPS Report.
ACM SIGSOFT Softw. Eng. Notes, 2015

Hypervolume-Based Search for Test Case Prioritization.
Proceedings of the Search-Based Software Engineering - 7th International Symposium, 2015

Landfill: An Open Dataset of Code Smells with Public Evaluation.
Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015

On the role of developer's scattered changes in bug prediction.
Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution, 2015


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