Fabio Palomba

Dario Amoroso d'Aragona

Empir. Softw. Eng., April, 2024

An Empirical Investigation Into the Influence of Software Communities' Cultural and Geographical Dispersion on Productivity.

[BibT_eX]

[DOI]

J. Syst. Softw., February, 2024

On the adoption and effects of source code reuse on defect proneness and maintenance effort.

[BibT_eX]

[DOI]

Empir. Softw. Eng., February, 2024

Fairness-aware machine learning engineering: how far are we?

[BibT_eX]

[DOI]

Empir. Softw. Eng., February, 2024

Technical debt in AI-enabled systems: On the prevalence, severity, impact, and management strategies for code and architecture.

[BibT_eX]

[DOI]

J. Syst. Softw., 2024

The quantum frontier of software engineering: A systematic mapping study.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2024

Test Code Flakiness in Mobile Apps: The Developer's Perspective.

[BibT_eX]

[DOI]

Silverio Martínez-Fernández

Inf. Softw. Technol., 2024

SENEM: A software engineering-enabled educational metaverse.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2024

Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study.

[BibT_eX]

[DOI]

Vincenzo De Martino

CoRR, 2024

Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature Review.

[BibT_eX]

[DOI]

CoRR, 2024

Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering.

[BibT_eX]

[DOI]

CoRR, 2024

A Catalog of Fairness-Aware Practices in Machine Learning Engineering.

[BibT_eX]

[DOI]

CoRR, 2024

In Search of Metrics to Guide Developer-Based Refactoring Recommendations.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

FedCSD: A Federated Learning Based Approach for Code-Smell Detection.

[BibT_eX]

[DOI]

IEEE Access, 2024

A Large-Scale Empirical Investigation Into Cross-Project Flaky Test Prediction.

[BibT_eX]

[DOI]

IEEE Access, 2024

Collecting and Implementing Ethical Guidelines for Emotion Recognition in an Educational Metaverse.

[BibT_eX]

[DOI]

Dario Di Dario

Viviana Pentangelo

Maria Immacolata Colella

Luigi Libero Lucio Starace

Carmine Gravino

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

QualAI: Continuous Quality Improvement of AI-based Systems.

[BibT_eX]

[DOI]

Proceedings of the Joint Proceedings of RCIS 2024 Workshops and Research Projects Track co-located with the 18th International Conferecence on Research Challenges in Information Science (RCIS 2024), 2024

Do Static Analysis Tools Improve Awareness and Attitude Toward Secure Software Development?

[BibT_eX]

[DOI]

Proceedings of the Quality of Information and Communications Technology, 2024

Large Language Models in Software Engineering: A Focus on Issue Report Classification and User Acceptance Test Generation.

[BibT_eX]

[DOI]

Gabriele De Vito

Sergio Di Martino

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Using Large Language Models to Support Software Engineering Documentation in Waterfall Life Cycles: Are We There Yet?

[BibT_eX]

[DOI]

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Teachers Interacting with Generative Artificial Intelligence: A Dual Responsibility.

[BibT_eX]

[DOI]

Carmine Gravino

Alessandro Iannella

Mirko Marras

Silvio Marcello Pagliara

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Dealing With Cultural Dispersion: a Novel Theoretical Framework for Software Engineering Research and Practice.

[BibT_eX]

[DOI]

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Society, 2024

ReFAIR: Toward a Context-Aware Recommender for Fairness Requirements Engineering.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

SERGE - Serious Game for the Education of Risk Management in Software Project Management.

[BibT_eX]

[DOI]

Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training, 2024

Is Attention All You Need? Toward a Conceptual Model for Social Awareness in Large Language Models.

[BibT_eX]

[DOI]

Gianmario Voria

Gennaro Alessio Robertazzi

Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024

FRINGE: context-aware FaiRness engineerING in complex software systEms.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024

Continuous Quality Improvement of AI-based Systems: the QualAI Project.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024

Toward a Search-Based Approach to Support the Design of Security Tests for Malicious Network Traffic.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

Security Risk Assessment on Cloud: A Systematic Mapping Study.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

Unmasking Data Secrets: An Empirical Investigation into Data Smells and Their Impact on Data Quality.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

2023

Introduction to the Software Quality for Artificial Intelligence (SQA4AI) special issue.

[BibT_eX]

[DOI]

Sci. Comput. Program., July, 2023

The anatomy of a vulnerability database: A systematic mapping study.

[BibT_eX]

[DOI]

J. Syst. Softw., July, 2023

QuantuMoonLight: A low-code platform to experiment with quantum machine learning.

[BibT_eX]

[DOI]

SoftwareX, May, 2023

Software Engineering Challenges for Quantum Computing: Report from the First Working Seminar on Quantum Software Engineering (WSQSE 22).

[BibT_eX]

[DOI]

ACM SIGSOFT Softw. Eng. Notes, April, 2023

A critical comparison on six static analysis tools: Detection, agreement, and precision.

[BibT_eX]

[DOI]

J. Syst. Softw., April, 2023

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2023

Rubbing salt in the wound? A large-scale investigation into the effects of refactoring on security.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2023

A Systematic Literature Review on the Code Smells Datasets and Validation Mechanisms.

[BibT_eX]

[DOI]

Morteza Zakeri Nasrabadi

Saeed Parsa

Ehsan Esmaili

ACM Comput. Surv., 2023

Classification, Challenges, and Automated Approaches to Handle Non-Functional Requirements in ML-Enabled Systems: A Systematic Literature Review.

[BibT_eX]

[DOI]

Vincenzo De Martino

CoRR, 2023

FedCSD: A Federated Learning Based Approach for Code-Smell Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Toward End-to-End MLOps Tools Map: A Preliminary Study based on a Multivocal Literature Review.

[BibT_eX]

[DOI]

CoRR, 2023

Automating Test-Specific Refactoring Mining: A Mixed-Method Investigation.

[BibT_eX]

[DOI]

Luana Almeida Martins

Proceedings of the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation, 2023

How May Deep Learning Testing Inform Model Generalizability? The Case of Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 15th Seminar on Advanced Techniques & Tools for Software Evolution, University of Salerno, Computer Science Department, 2023

An Empirical Study on the Performance of Vulnerability Prediction Models Evaluated Applying Real-world Labelling.

[BibT_eX]

[DOI]

Proceedings of the Joint Proceedings of the 32nd International Workshop on Software Measurement (IWSM) and the 17th International Conference on Software Process and Product Measurement (MENSURA), 2023

Understanding Developer Practices and Code Smells Diffusion in AI-Enabled Software: A Preliminary Study.

[BibT_eX]

[DOI]

Machine Learning for Educational Metaverse: How Far Are We?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Consumer Electronics, 2023

ECHO: An Approach to Enhance Use Case Quality Exploiting Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

Meet C4SE: Your New Collaborator for Software Engineering Tasks.

[BibT_eX]

[DOI]

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

The Yin and Yang of Software Quality: On the Relationship between Design Patterns and Code Smells.

[BibT_eX]

[DOI]

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

Security Testing in The Wild: An Interview Study.

[BibT_eX]

[DOI]

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

Toward a Secure Educational Metaverse: A Tale of Blockchain Design for Educational Environments.

[BibT_eX]

[DOI]

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

2022

Within-Project Defect Prediction of Infrastructure-as-Code Using Product and Process Metrics.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2022

Software engineering for quantum programming: How far are we?

[BibT_eX]

[DOI]

J. Syst. Softw., 2022

Just-in-time software vulnerability detection: Are we there yet?

[BibT_eX]

[DOI]

J. Syst. Softw., 2022

On the use of artificial intelligence to deal with privacy in IoT systems: A systematic literature review.

[BibT_eX]

[DOI]

Giammaria Giordano

J. Syst. Softw., 2022

Static test flakiness prediction: How Far Can We Go?

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2022

On the adequacy of static analysis warnings with respect to code smell prediction.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2022

Software testing and Android applications: a large-scale empirical study.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2022

The making of accessible Android applications: an empirical study on the state of the practice.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2022

Handling uncertainty in SBSE: a possibilistic evolutionary approach for code smells detection.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2022

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

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2022

Toward Granular Automatic Unit Test Case Generation.

[BibT_eX]

[DOI]

CoRR, 2022

Toward Understanding the Impact of Refactoring on Program Comprehension.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Analysis, 2022

Gender Diversity and Community Smells: A Double-Replication Study on Brazilian Software Teams.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Analysis, 2022

On the Evolution of Inheritance and Delegation Mechanisms and Their Impact on Code Quality.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Analysis, 2022

Unsupervised Labor Intelligence Systems: A Detection Approach and Its Evaluation - A Case Study in the Netherlands.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 16th Symposium and Summer School, 2022

Towards Quantum-algorithms-as-a-service.

[BibT_eX]

[DOI]

Proceedings of the 1st International Workshop on Quantum Programming for Software Engineering, 2022

Community Smell Detection and Refactoring in SLACK: The CADOCS Project.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

The Phantom Menace: Unmasking Security Issues in Evolving Software.

[BibT_eX]

[DOI]

Emanuele Iannone

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

Good Fences Make Good Neighbours? On the Impact of Cultural and Geographical Dispersion on Community Smells.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Society ICSE (SEIS) 2022, 2022

A Preliminary Study on the Assignment of GitHub Issues to Issue Commenters and the Relationship with Social Smells.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE/ACM International Workshop on Cooperative and Human Aspects of Software Engineering , 2022

AI-Based Emotion Recognition to Study Users' Perception of Dark Patterns.

[BibT_eX]

[DOI]

Proceedings of the HCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction, 2022

A bi-level evolutionary approach for the multi-label detection of smelly classes.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

A Multivocal Literature Review of MLOps Tools and Features.

[BibT_eX]

[DOI]

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

Regularity or Anomaly? On The Use of Anomaly Detection for Fine-Grained JIT Defect Prediction.

[BibT_eX]

[DOI]

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

"There and Back Again?" On the Influence of Software Community Dispersion Over Productivity.

[BibT_eX]

[DOI]

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

A Preliminary Conceptualization and Analysis on Automated Static Analysis Tools for Vulnerability Detection in Android Apps.

[BibT_eX]

[DOI]

Giammaria Giordano

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

2021

Exploring Community Smells in Open-Source: An Automated Approach.

[BibT_eX]

[DOI]

Rick Kazman

IEEE Trans. Software Eng., 2021

Beyond Technical Aspects: How Do Community Smells Influence the Intensity of Code Smells?

[BibT_eX]

[DOI]

Alexander Serebrenik

IEEE Trans. Software Eng., 2021

Lightweight Assessment of Test-Case Effectiveness Using Source-Code-Quality Indicators.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2021

Success and Failure in Software Engineering: A Followup Systematic Literature Review.

[BibT_eX]

[DOI]

Rick Kazman

IEEE Trans. Engineering Management, 2021

Evolving software forges: An experience report from Apache Allura.

[BibT_eX]

[DOI]

J. Softw. Evol. Process., 2021

Predicting the emergence of community smells using socio-technical metrics: A machine-learning approach.

[BibT_eX]

[DOI]

J. Syst. Softw., 2021

On the impact of Continuous Integration on refactoring practice: An exploratory study on TravisTorrent.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2021

The do's and don'ts of infrastructure code: A systematic gray literature review.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2021

Code smell detection and identification in imbalanced environments.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems.

[BibT_eX]

[DOI]

Fabiano Pecorelli

Empir. Softw. Eng., 2021

A Critical Comparison on Six Static Analysis Tools: Detection, Agreement, and Precision.

[BibT_eX]

[DOI]

CoRR, 2021

Comparing within- and cross-project machine learning algorithms for code smell detection.

[BibT_eX]

[DOI]

Proceedings of the MaLTeSQuE@ESEC/SIGSOFT FSE 2021: Proceedings of the 5th International Workshop on Machine Learning Techniques for Software Quality Evolution, 2021

Toward static test flakiness prediction: a feasibility study.

[BibT_eX]

[DOI]

Proceedings of the MaLTeSQuE@ESEC/SIGSOFT FSE 2021: Proceedings of the 5th International Workshop on Machine Learning Techniques for Software Quality Evolution, 2021

A Possibilistic Evolutionary Approach to Handle the Uncertainty of Software Metrics Thresholds in Code Smells Detection.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Understanding Community Smells Variability: A Statistical Approach.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Society, 2021

Understanding Community Smells Variability: A Statistical Approach: Replication Package Instructions.

[BibT_eX]

[DOI]

Alexander Serebrenik

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

2020

Replication package for "Pizza versus Pinsa: On the Perception and Measurability of Unit Test Code Quality".

[BibT_eX]

[DOI]

Dataset, August, 2020

Dataset of the paper "Information Needs in Contemporary Code Review".

[BibT_eX]

[DOI]

Dataset, March, 2020

"The Canary in the Coal Mine..." A cautionary tale from the decline of SourceForge.

[BibT_eX]

[DOI]

Kelly Blincoe

Rick Kazman

Softw. Pract. Exp., 2020

Gender Diversity and Community Smells: Insights From the Trenches.

[BibT_eX]

[DOI]

IEEE Softw., 2020

MALTESQUE 2019 Workshop Summary.

[BibT_eX]

[DOI]

Gilles Perrouin

Apostolos Ampatzoglou

ACM SIGSOFT Softw. Eng. Notes, 2020

On the performance of method-level bug prediction: A negative result.

[BibT_eX]

[DOI]

J. Syst. Softw., 2020

Toward a catalog of software quality metrics for infrastructure code.

[BibT_eX]

[DOI]

Stefano Dalla Palma

Dario Di Nucci

J. Syst. Softw., 2020

How developers engage with static analysis tools in different contexts.

[BibT_eX]

[DOI]

Carmine Vassallo

Empir. Softw. Eng., 2020

Third-party libraries in mobile apps.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2020

Retraction Note: Retraction note to: The smell of fear: on the relation between test smells and flaky tests.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2020

Improving change prediction models with code smell-related information.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2020

Towards a Catalogue of Software Quality Metrics for Infrastructure Code.

[BibT_eX]

[DOI]

CoRR, 2020

Speeding up the data extraction of machine learning approaches: a distributed framework.

[BibT_eX]

[DOI]

Martin Steinhauer

Proceedings of the 4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, 2020

tsDetect: an open source test smells detection tool.

[BibT_eX]

[DOI]

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, 2020

Developer-Driven Code Smell Prioritization.

[BibT_eX]

[DOI]

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

Testing of Mobile Applications in the Wild: A Large-Scale Empirical Study on Android Apps.

[BibT_eX]

[DOI]

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

OpenSZZ: A Free, Open-Source, Web-Accessible Implementation of the SZZ Algorithm.

[BibT_eX]

[DOI]

Valentina Lenarduzzi

Davide Taibi

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Just-In-Time Test Smell Detection and Refactoring: The DARTS Project.

[BibT_eX]

[DOI]

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Refactoring Android-specific Energy Smells: A Plugin for Android Studio.

[BibT_eX]

[DOI]

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Refactoring Recommendations Based on the Optimization of Socio-Technical Congruence.

[BibT_eX]

[DOI]

Manuel De Stefano

Fabiano Pecorelli

Michele Simone Gambardella

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Pizza versus Pinsa: On the Perception and Measurability of Unit Test Code Quality.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Splicing Community Patterns and Smells: A Preliminary Study.

[BibT_eX]

[DOI]

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

An Exploratory Study on the Refactoring of Unit Test Files in Android Applications.

[BibT_eX]

[DOI]

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Refactoring community smells in the wild: the practitioner's field manual.

[BibT_eX]

[DOI]

Proceedings of the ICSE-SEIS '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Society, Seoul, South Korea, 27 June, 2020

UI Dark Patterns and Where to Find Them: A Study on Mobile Applications and User Perception.

[BibT_eX]

[DOI]

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

cASpER: A Plug-in for Automated Code Smell Detection and Refactoring.

[BibT_eX]

[DOI]

Manuel De Stefano

Fabiano Pecorelli

Proceedings of the AVI '20: International Conference on Advanced Visual Interfaces, Island of Ischia, Italy, September 28, 2020

VITRuM: A Plug-In for the Visualization of Test-Related Metrics.

[BibT_eX]

[DOI]

Proceedings of the AVI '20: International Conference on Advanced Visual Interfaces, Island of Ischia, Italy, September 28, 2020

Counterterrorism for Cyber-Physical Spaces: A Computer Vision Approach.

[BibT_eX]

[DOI]

Proceedings of the AVI '20: International Conference on Advanced Visual Interfaces, Island of Ischia, Italy, September 28, 2020

2019

Online Appendix - Scented Since the Beginning: On the Diffuseness of Test Smells in Automatically Generated Test Code.

[BibT_eX]

[DOI]

Dataset, July, 2019

Lightweight Assessment of Test-Case Effectiveness using Source-Code-Quality Indicators - Replication Package.

[BibT_eX]

[DOI]

Dataset, February, 2019

Toward a Smell-Aware Bug Prediction Model.

[BibT_eX]

[DOI]

Marco Zanoni

IEEE Trans. Software Eng., 2019

Introduction to the special issue on "Machine Learning Techniques for Software Quality Evaluation".

[BibT_eX]

[DOI]

Apostolos Ampatzoglou

Bartosz Walter

J. Softw. Evol. Process., 2019

A large-scale empirical exploration on refactoring activities in open source software projects.

[BibT_eX]

[DOI]

Sci. Comput. Program., 2019

Fine-grained just-in-time defect prediction.

[BibT_eX]

[DOI]

J. Syst. Softw., 2019

Scented since the beginning: On the diffuseness of test smells in automatically generated test code.

[BibT_eX]

[DOI]

J. Syst. Softw., 2019

Not all bugs are the same: Understanding, characterizing, and classifying bug types.

[BibT_eX]

[DOI]

J. Syst. Softw., 2019

On the impact of code smells on the energy consumption of mobile applications.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2019

A survey on software coupling relations and tools.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2019

Machine learning techniques for code smell detection: A systematic literature review and meta-analysis.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2019

Discovering community patterns in open-source: a systematic approach and its evaluation.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2019

Guest Editorial: Special Issue on Software Engineering for Mobile Applications.

[BibT_eX]

[DOI]

David Lo

Meiyappan Nagappan

Empir. Softw. Eng., 2019

On The Effect Of Code Review On Code Smells.

[BibT_eX]

[DOI]

CoRR, 2019

Not All Bugs Are the Same: Understanding, Characterizing, and Classifying the Root Cause of Bugs.

[BibT_eX]

[DOI]

CoRR, 2019

Healthcare Android apps: a tale of the customers' perspective.

[BibT_eX]

[DOI]

Proceedings of the 3rd ACM SIGSOFT International Workshop on App Market Analytics, 2019

Understanding flaky tests: the developer's perspective.

[BibT_eX]

[DOI]

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

On the effectiveness of manual and automatic unit test generation: ten years later.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Mining Software Repositories, 2019

Comparing heuristic and machine learning approaches for metric-based code smell detection.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Program Comprehension, 2019

Adoption, Support, and Challenges of Infrastructure-as-Code: Insights from Industry.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

How the Experience of Development Teams Relates to Assertion Density of Test Classes.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

Characterizing women (not) contributing to open-source.

[BibT_eX]

[DOI]

Pavlina Wurzelová

Proceedings of the 2nd International Workshop on Gender Equality in Software Engineering, 2019

Test-driven code review: an empirical study.

[BibT_eX]

[DOI]

Proceedings of the 41st International Conference on Software Engineering, 2019

Gender diversity and women in software teams: how do they affect community smells?

[BibT_eX]

[DOI]

Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Society, 2019

On the distribution of test smells in open source Android applications: an exploratory study.

[BibT_eX]

[DOI]

Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019

Flaky Tests: Problems, Solutions, and Challenges.

[BibT_eX]

[DOI]

Proceedings of the 18th Belgium-Netherlands Software Evolution Workshop, 2019

The Secret Life of Software Communities: What we Know and What we Don't Know.

[BibT_eX]

[DOI]

Proceedings of the 18th Belgium-Netherlands Software Evolution Workshop, 2019

2018

Fine-Grained Just-In-Time Defect Prediction - Appendix.

[BibT_eX]

[DOI]

Dataset, December, 2018

On the Performance of Method-Level Bug Prediction: A Negative Result. Appendix.

[BibT_eX]

[DOI]

Dataset, December, 2018

Information Needs in Contemporary Code Review - Appendix.

[BibT_eX]

[DOI]

Dataset, October, 2018

Information Needs in Contemporary Code Review - Appendix.

[BibT_eX]

[DOI]

Dataset, October, 2018

Data and material for: "Mining file histories: should we consider branches?".

[BibT_eX]

[DOI]

Vladimir Kovalenko

Dataset, April, 2018

The Scent of a Smell: An Extensive Comparison Between Textual and Structural Smells.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2018

A Developer Centered Bug Prediction Model.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2018

Information Needs in Contemporary Code Review.

[BibT_eX]

[DOI]

Proc. ACM Hum. Comput. Interact., 2018

Crowdsourcing user reviews to support the evolution of mobile apps.

[BibT_eX]

[DOI]

Mario Linares Vásquez

J. Syst. Softw., 2018

Enhancing change prediction models using developer-related factors.

[BibT_eX]

[DOI]

J. Syst. Softw., 2018

A large-scale empirical study on the lifecycle of code smell co-occurrences.

[BibT_eX]

[DOI]

Fausto Fasano

Inf. Softw. Technol., 2018

On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation.

[BibT_eX]

[DOI]

Fausto Fasano

Empir. Softw. Eng., 2018

Context is king: The developer perspective on the usage of static analysis tools.

[BibT_eX]

[DOI]

Carmine Vassallo

Proceedings of the 25th International Conference on Software Analysis, 2018

BECLoMA: Augmenting stack traces with user review information.

[BibT_eX]

[DOI]

Lucas Pelloni

Adelina Ciurumelea

Proceedings of the 25th International Conference on Software Analysis, 2018

Re-evaluating method-level bug prediction.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Software Analysis, 2018

Detecting code smells using machine learning techniques: Are we there yet?

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Software Analysis, 2018

Exploring the integration of user feedback in automated testing of Android applications.

[BibT_eX]

[DOI]

Adelina Ciurumelea

Proceedings of the 25th International Conference on Software Analysis, 2018

How is video game development different from software development in open source?

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Mining Software Repositories, 2018

A graph-based dataset of commit history of real-world Android apps.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Mining Software Repositories, 2018

Omniscient DevOps Analytics.

[BibT_eX]

[DOI]

Dario Di Nucci

Lucio Di Giacomo

Proceedings of the Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment, 2018

Continuous code quality: are we (really) doing that?

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Mining file histories: should we consider branches?

[BibT_eX]

[DOI]

Vladimir Kovalenko

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Do developers update third-party libraries in mobile apps?

[BibT_eX]

[DOI]

Proceedings of the 26th Conference on Program Comprehension, 2018

Continuous Refactoring in CI: A Preliminary Study on the Perceived Advantages and Barriers.

[BibT_eX]

[DOI]

Carmine Vassallo

Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018

On the Relation of Test Smells to Software Code Quality.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018

Automatic Test Smell Detection Using Information Retrieval Techniques.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018

Self-reported activities of Android developers.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Mobile Software Engineering and Systems, MOBILESoft@ICSE 2018, Gothenburg, Sweden, May 27, 2018

How do community smells influence code smells?

[BibT_eX]

[DOI]

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Evaluating the Adaptive Selection of Classifiers for Cross-Project Bug Prediction.

[BibT_eX]

[DOI]

Dario Di Nucci

Proceedings of the 6th IEEE/ACM International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2018

2017

When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away).

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2017

Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2017

There and back again: Can you compile that snapshot?

[BibT_eX]

[DOI]

Michele Tufano

J. Softw. Evol. Process., 2017

Investigating code smell co-occurrences using association rule learning: A replicated study.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation, 2017

Lightweight detection of Android-specific code smells: The aDoctor project.

[BibT_eX]

[DOI]

Proceedings of the IEEE 24th International Conference on Software Analysis, 2017

Software-based energy profiling of Android apps: Simple, efficient and reliable?

[BibT_eX]

[DOI]

Proceedings of the IEEE 24th International Conference on Software Analysis, 2017

An exploratory study on the relationship between changes and refactoring.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Program Comprehension, 2017

Developer-related factors in change prediction: an empirical assessment.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Program Comprehension, 2017

Recommending and localizing change requests for mobile apps based on user reviews.

[BibT_eX]

[DOI]

Pasquale Salza

Adelina Ciurumelea

Proceedings of the 39th International Conference on Software Engineering, 2017

PETrA: a software-based tool for estimating the energy profile of Android applications.

[BibT_eX]

[DOI]

Proceedings of the 39th International Conference on Software Engineering, 2017

Social Debt Analytics for Improving the Management of Software Evolution Tasks.

[BibT_eX]

[DOI]

Alexander Serebrenik

Proceedings of the 16th edition of the BElgian-NEtherlands software eVOLution symposium, 2017

2016

An empirical investigation into the nature of test smells.

[BibT_eX]

[DOI]

Michele Tufano

Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

A textual-based technique for Smell Detection.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Conference on Program Comprehension, 2016

Automatic test case generation: what if test code quality matters?

[BibT_eX]

[DOI]

Proceedings of the 25th International Symposium on Software Testing and Analysis, 2016

Smells Like Teen Spirit: Improving Bug Prediction Performance Using the Intensity of Code Smells.

[BibT_eX]

[DOI]

Marco Zanoni

Proceedings of the 2016 IEEE International Conference on Software Maintenance and Evolution, 2016

Alternative Sources of Information for Code Smell Detection: Postcards from Far Away.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Software Maintenance and Evolution, 2016

On the diffusion of test smells in automatically generated test code: an empirical study.

[BibT_eX]

[DOI]

Proceedings of the 9th International Workshop on Search-Based Software Testing, 2016

2015

Mining Version Histories for Detecting Code Smells.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2015

An experimental investigation on the innate relationship between quality and refactoring.

[BibT_eX]

[DOI]

J. Syst. Softw., 2015

Anti-Pattern Detection: Methods, Challenges, and Open Issues.

[BibT_eX]

[DOI]

Adv. Comput., 2015

Landfill: An Open Dataset of Code Smells with Public Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015

User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps.

[BibT_eX]

[DOI]

Mario Linares Vásquez

Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution, 2015

On the role of developer's scattered changes in bug prediction.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution, 2015

When and Why Your Code Starts to Smell Bad.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Extract Package Refactoring in ARIES.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Textual Analysis for Code Smell Detection.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014

Do They Really Smell Bad? A Study on Developers' Perception of Bad Code Smells.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Conference on Software Maintenance and Evolution, Victoria, BC, Canada, September 29, 2014

2013

Detecting bad smells in source code using change history information.

[BibT_eX]

[DOI]