Giuseppe Destefanis

Orcid: 0000-0003-3982-6355

Affiliations:
  • Brunel University, London, Department of Computer Science


According to our database1, Giuseppe Destefanis authored at least 67 papers between 2012 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
DApps Ecosystems: Mapping the Network Structure of Smart Contract Interactions.
CoRR, 2024

MindTheDApp: A Toolchain for Complex Network-Driven Structural Analysis of Ethereum-Based Decentralized Applications.
IEEE Access, 2024

2023
Fault-insertion and fault-fixing behavioural patterns in Apache Software Foundation Projects.
Inf. Softw. Technol., June, 2023

MindTheDApp: A Toolchain for Complex Network-Driven Structural Analysis of Ethereum-based Decentralised Applications.
CoRR, 2023

A Preliminary Analysis on the Code Generation Capabilities of GPT-3.5 and Bard AI Models for Java Functions.
CoRR, 2023

An Optimized Concurrent Proof of Authority Consensus Protocol.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Towards a Scalable Dual-Sided Blockchain Architecture with Concurrency Protocols.
Proceedings of the 20th International Conference on Software Architecture, 2023

BlockArch'23 - Fourth International Workshop on Blockchain-Based Architecture.
Proceedings of the 20th International Conference on Software Architecture, 2023

A Preliminary Analysis of Software Metrics in Decentralised Applications.
Proceedings of the Fifth ACM International Workshop on Blockchain-enabled Networked Sensor Systems, 2023

2022
On technical trading and social media indicators for cryptocurrency price classification through deep learning.
Expert Syst. Appl., 2022

2021
Exploring Research in Blockchain for Healthcare and a Roadmap for the Future.
IEEE Trans. Emerg. Top. Comput., 2021

Could Blockchain Help With COVID-19 Crisis?
IT Prof., 2021

On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning.
CoRR, 2021

Exploring the Profiles of Software Testing Jobs in the United States.
IEEE Access, 2021

Blockchain-Engineers Wanted: an Empirical Analysis on Required Skills, Education and Experience.
Proceedings of the 4th IEEE/ACM International Workshop on Emerging Trends in Software Engineering for Blockchain, 2021

Blockchain and Contact Tracing Applications for COVID-19: The Opportunity and The Challenges.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Design Patterns for Smart Contract in Ethereum.
Proceedings of the 18th IEEE International Conference on Software Architecture Companion, 2021

2020
The Butterfly "Affect": impact of development practices on cryptocurrency prices.
EPJ Data Sci., 2020

How do you Propose Your Code Changes? Empirical Analysis of Affect Metrics of Pull Requests on GitHub.
IEEE Access, 2020

Blockchain Application for Central Banks: A Systematic Mapping Study.
IEEE Access, 2020

Is Complexity of Re-test a Reason Why Some Refactorings Are Buggy? an Empirical Perspective.
Proceedings of the Quality of Information and Communications Technology, 2020

On the Link Between Refactoring Activity and Class Cohesion Through the Prism of Two Cohesion-Based Metrics.
Proceedings of the 20th IEEE International Conference on Software Quality, 2020

Fault-insertion and fault-fixing: analysing developer activity over time.
Proceedings of the PROMISE '20: 16th International Conference on Predictive Models and Data Analytics in Software Engineering, 2020

On Clones and Comments in Production and Test Classes: An Empirical Study.
Proceedings of the Product-Focused Software Process Improvement, 2020

Investigation of Mutual-Influence among Blockchain Development Communities and Cryptocurrency Price Changes.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Using the Lexicon from Source Code to Determine Application Domain.
Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 2020

2019
The Prevalence of Errors in Machine Learning Experiments.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Blockchain: a panacea for electronic health records?
Proceedings of the 1st International Workshop on Software Engineering for Healthcare, 2019

Investigating quality requirements for blockchain-based healthcare systems.
Proceedings of the 2nd International Workshop on Emerging Trends in Software Engineering for Blockchain, 2019

On the Relationship Between Coupling and Refactoring: An Empirical Viewpoint.
Proceedings of the 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2019

An Empirical Study of the AGIS Visual Field Metric and Its Seasonal Variations.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018
113 times Tomcat: A dataset.
PeerJ Prepr., 2018

Analysing Developers Affectiveness through Markov chain Models.
CoRR, 2018

Smart Contracts Software Metrics: a First Study.
CoRR, 2018

Angry-builds: an empirical study of affect metrics and builds success on github ecosystem.
Proceedings of the 19th International Conference on Agile Software Development, 2018

Smart contracts vulnerabilities: a call for blockchain software engineering?
Proceedings of the 2018 International Workshop on Blockchain Oriented Software Engineering, 2018

Mining Communication Patterns in Software Development: A GitHub Analysis.
Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, 2018

A Longitudinal Study of Anti Micro Patterns in 113 versions of Tomcat.
Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, 2018

Do Developers Really Worry About Refactoring Re-test? An Empirical Study of Open-Source Systems.
Proceedings of the Product-Focused Software Process Improvement, 2018

On measuring affects of github issues' commenters.
Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering, 2018

2017
Measuring Affectiveness and Effectiveness in Software Systems.
CoRR, 2017

On the randomness and seasonality of affective metrics for software development.
Proceedings of the Symposium on Applied Computing, 2017

8th Workshop on Emerging Trends in Software Metrics (WETSoM 2017).
Proceedings of the 8th IEEE/ACM Workshop on Emerging Trends in Software Metrics, 2017

Connecting the Dots: Measuring Effectiveness and Affectiveness in Software Systems.
Proceedings of the 2nd IEEE/ACM International Workshop on Emotion Awareness in Software Engineering, 2017

2016
How diverse is your team? Investigating gender and nationality diversity in GitHub teams.
PeerJ Prepr., 2016

Signature-based detection of behavioural deviations in flight simulators - Experiments on FlightGear and JSBSim.
PeerJ Prepr., 2016

Software development: do good manners matter?
PeerJ Comput. Sci., 2016

Arsonists or Firefighters? Affectiveness in Agile Software Development.
Proceedings of the Agile Processes, in Software Engineering, and Extreme Programming, 2016

The emotional side of software developers in JIRA.
Proceedings of the 13th International Conference on Mining Software Repositories, 2016

Mining valence, arousal, and dominance: possibilities for detecting burnout and productivity?
Proceedings of the 13th International Conference on Mining Software Repositories, 2016

Measuring high and low priority defects on traditional and mobile open source software.
Proceedings of the 7th International Workshop on Emerging Trends in Software Metrics, 2016

A statistical comparison of Java and Python software metric properties.
Proceedings of the 7th International Workshop on Emerging Trends in Software Metrics, 2016

Comparing Test and Production Code Quality in a Large Commercial Multicore System.
Proceedings of the 42th Euromicro Conference on Software Engineering and Advanced Applications, 2016

2015
Software development: do good manners matter?
PeerJ Prepr., 2015

Would you mind fixing this issue? - An Empirical Analysis of Politeness and Attractiveness in Software Developed Using Agile Boards.
Proceedings of the Agile Processes, in Software Engineering, and Extreme Programming, 2015

The JIRA Repository Dataset: Understanding Social Aspects of Software Development.
Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering, 2015

A Curated Benchmark Collection of Python Systems for Empirical Studies on Software Engineering.
Proceedings of the 11th International Conference on Predictive Models and Data Analytics in Software Engineering, 2015

Are Bullies More Productive? Empirical Study of Affectiveness vs. Issue Fixing Time.
Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015

Measuring and Understanding the Effectiveness of JIRA Developers Communities.
Proceedings of the 6th IEEE/ACM International Workshop on Emerging Trends in Software Metrics, 2015

Estimating Development Effort for Software Architectural Tactics.
Proceedings of the Perspectives of System Informatics, 2015

2014
Software Metrics in Agile Software: An Empirical Study.
Proceedings of the Agile Processes in Software Engineering and Extreme Programming, 2014

2013
Assessing sofware quality by micro patterns detection.
PhD thesis, 2013

Micro Patterns in Agile Software.
Proceedings of the Agile Processes in Software Engineering and Extreme Programming, 2013

2012
An Empirical Study of Software Metrics for Assessing the Phases of an Agile Project.
Int. J. Softw. Eng. Knowl. Eng., 2012

A case study of the use of Open Source CMS in Public Administrations.
Proceedings of the 14th IEEE International Symposium on Web Systems Evolution, 2012

An analysis of anti-micro-patterns effects on fault-proneness in large Java systems.
Proceedings of the ACM Symposium on Applied Computing, 2012

Micro Pattern Fault-Proneness.
Proceedings of the 38th Euromicro Conference on Software Engineering and Advanced Applications, 2012


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