UniSa - IRIS Institutional Research Information System

PALOMBA, Fabio
 Distribuzione geografica
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Continente #
AS - Asia 10.444
NA - Nord America 3.806
EU - Europa 1.994
SA - Sud America 511
AF - Africa 63
OC - Oceania 12
Continente sconosciuto - Info sul continente non disponibili 2
Totale 16.832
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Nazione #
HK - Hong Kong 8.483
US - Stati Uniti d'America 3.701
SG - Singapore 949
IT - Italia 643
CN - Cina 440
BR - Brasile 435
RU - Federazione Russa 328
DE - Germania 293
VN - Vietnam 216
IE - Irlanda 114
UA - Ucraina 102
FI - Finlandia 95
TR - Turchia 80
GB - Regno Unito 69
IN - India 65
KR - Corea 65
SE - Svezia 64
NL - Olanda 58
CA - Canada 56
CZ - Repubblica Ceca 41
MX - Messico 35
AR - Argentina 31
ES - Italia 30
JP - Giappone 30
ZA - Sudafrica 26
AT - Austria 25
FR - Francia 25
PL - Polonia 25
EC - Ecuador 20
IQ - Iraq 19
NO - Norvegia 18
BD - Bangladesh 16
ID - Indonesia 15
PK - Pakistan 13
RO - Romania 10
DZ - Algeria 8
SA - Arabia Saudita 8
AU - Australia 7
BE - Belgio 7
UZ - Uzbekistan 7
AL - Albania 6
CH - Svizzera 6
GR - Grecia 6
HR - Croazia 6
DO - Repubblica Dominicana 5
EG - Egitto 5
KE - Kenya 5
MA - Marocco 5
PE - Perù 5
PT - Portogallo 5
PY - Paraguay 5
CL - Cile 4
CO - Colombia 4
EE - Estonia 4
JO - Giordania 4
KZ - Kazakistan 4
NP - Nepal 4
NZ - Nuova Zelanda 4
BG - Bulgaria 3
DK - Danimarca 3
IR - Iran 3
SK - Slovacchia (Repubblica Slovacca) 3
VE - Venezuela 3
AZ - Azerbaigian 2
BN - Brunei Darussalam 2
BY - Bielorussia 2
CI - Costa d'Avorio 2
CY - Cipro 2
GT - Guatemala 2
IL - Israele 2
KW - Kuwait 2
MY - Malesia 2
TH - Thailandia 2
TN - Tunisia 2
UY - Uruguay 2
A1 - Anonimo 1
AE - Emirati Arabi Uniti 1
AM - Armenia 1
BA - Bosnia-Erzegovina 1
BF - Burkina Faso 1
BH - Bahrain 1
BO - Bolivia 1
BW - Botswana 1
CM - Camerun 1
CV - Capo Verde 1
GD - Grenada 1
GF - Guiana Francese 1
GH - Ghana 1
HN - Honduras 1
JM - Giamaica 1
LB - Libano 1
LK - Sri Lanka 1
LT - Lituania 1
MR - Mauritania 1
NI - Nicaragua 1
OM - Oman 1
PA - Panama 1
PF - Polinesia Francese 1
PH - Filippine 1
RS - Serbia 1
Totale 16.823
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Città #
Hong Kong 8.475
Ann Arbor 510
Singapore 434
Chandler 352
Dallas 334
Princeton 310
Ashburn 299
Woodbridge 231
Munich 173
Jacksonville 144
Beijing 143
Houston 117
Dublin 112
Wilmington 107
Salerno 88
Moscow 74
Los Angeles 70
Izmir 68
Ho Chi Minh City 60
São Paulo 56
Helsinki 53
Naples 48
Andover 47
New York 47
The Dalles 47
Dong Ket 45
Milan 45
Fisciano 40
Nuremberg 40
Brno 38
Boardman 37
Santa Clara 37
Hanoi 35
Columbus 33
Council Bluffs 33
Montreal 32
Nanjing 32
Rome 32
Pellezzano 31
Amsterdam 30
Tokyo 27
Fairfield 24
Warsaw 24
Washington 22
Brooklyn 20
Denver 20
Barcelona 18
Dearborn 18
Stockholm 18
Trondheim 18
Poplar 17
Chennai 16
Düsseldorf 16
Frankfurt am Main 16
Guangzhou 16
Norwalk 16
Pune 16
Turku 16
Chicago 15
Changsha 14
Johannesburg 14
London 14
Mexico City 14
Nijmegen 14
Rio de Janeiro 13
San Francisco 13
Seattle 13
Atlanta 12
Belo Horizonte 12
Manchester 12
Nanchang 12
Redwood City 12
Nocera Inferiore 11
Salvador 11
Boston 10
Seoul 10
Shenyang 10
Vienna 10
Brusciano 9
Acerra 8
Caivano 8
Da Nang 8
Guayaquil 8
Lappeenranta 8
Mumbai 8
Toronto 8
Villaricca 8
Falls Church 7
Haiphong 7
Hải Dương 7
Jiaxing 7
Orem 7
Paula Freitas 7
Shanghai 7
Tashkent 7
Tianjin 7
Ankara 6
Baghdad 6
Brasília 6
Cologne 6
Totale 13.683
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Nome #
An empirical study into the effects of transpilation on quantum circuit smells 838
Dealing With Cultural Dispersion: a Novel Theoretical Framework for Software Engineering Research and Practice 828
CASpER: A Plug-in for Automated Code Smell Detection and Refactoring 730
Software testing and Android applications: a large-scale empirical study 494
QUANTUMOONLIGHT: A low-code platform to experiment with quantum machine learning 477
The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study 435
Machine learning-based test smell detection 422
Software engineering for quantum programming: How far are we? 407
Beyond Technical Aspects: How Do Community Smells Influence the Intensity of Code Smells? 402
Testing of mobile applications in the wild: A large-scale empirical study on android apps 395
Recommending and Localizing Change Requests for Mobile Apps Based on User Reviews 392
Static test flakiness prediction: How Far Can We Go? 354
On the effectiveness of manual and automatic unit test generation: Ten years later 316
Quantum Software Engineering Issues and Challenges: Insights from Practitioners 314
Unsupervised Labor Intelligence Systems: A Detection Approach and Its Evaluation: A Case Study in the Netherlands 304
On the adequacy of static analysis warnings with respect to code smell prediction 290
Developer-Driven Code Smell Prioritization 248
A Systematic Literature Review on the Code Smells Datasets and Validation Mechanisms 240
Rubbing salt in the wound? A large-scale investigation into the effects of refactoring on security 218
SENEM: A software engineering-enabled educational metaverse 212
Into the ML-Universe: An improved classification and characterization of machine-learning projects 206
Comparing within-and cross-project machine learning algorithms for code smell detection 190
Technical debt in AI-enabled systems: On the prevalence, severity, impact, and management strategies for code and architecture 157
Do developers update third-party libraries in mobile apps? 148
VITRuM: A Plug-In for the Visualization of Test-Related Metrics 146
ARIES: An Eclipse plugin to Support Extract Class Refactoring 132
When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away) 127
A Textual-based Technique for Smell Detection 126
Anti-Pattern Detection: Methods, Challenges, and Open Issues 122
User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps 121
There and back again: Can you compile that snapshot? 118
Lightweight Assessment of Test-Case Effectiveness using Source-Code-Quality Indicators 114
Automatic Test Case Generation: What If Test Code Quality Matters? 113
Enhancing change prediction models using developer-related factors 113
When and Why Your Code Starts to Smell Bad 112
Do they Really Smell Bad? A Study on Developers’ Perception of Bad Code Smells 112
An Experimental Investigation on the Innate Relationship between Quality and Refactoring 112
Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method 110
Developer-Related Factors in Change Prediction: An Empirical Assessment 109
An Empirical Investigation into the Nature of Test Smells 109
Landfill: an Open Datase of Code Smells with Public Evaluation 108
Mining Version Histories for Detecting Code Smells 107
On the Role of Developer’s Scattered Changes in Bug Prediction 107
An empirical study on the performance of vulnerability prediction models evaluated applying real-world labelling 106
Toward Understanding the Impact of Refactoring on Program Comprehension 100
Detecting Bad Smells in Source Code using Change History Information 100
A large-scale empirical study on the lifecycle of code smell co-occurrences 100
Meet C4SE: Your New Collaborator for Software Engineering Tasks 98
Lightweight detection of Android-specific code smells: The aDoctor project 96
Supporting Extract Class Refactoring in Eclipse: The ARIES Project 94
Investigating code smell co-occurrences using association rule learning: A replicated study 94
On the Diffusion of Test Smells in Automatically Generated Test Code: An Empirical Study 92
Good Fences Make Good Neighbours? On the Impact of Cultural and Geographical Dispersion on Community Smells 88
Textual Analysis and Software Quality: Challenges and Opportunities 88
An Exploratory Study on the Relationship between Changes and Refactoring 88
PETrA: A software-based tool for estimating the energy profile of android applications 86
Software-based energy profiling of Android apps: Simple, efficient and reliable? 86
The Scent of a Smell: An Extensive Comparison between Textual and Structural Smells 83
Fairness-aware machine learning engineering: how far are we? 82
The making of accessible Android applications: an empirical study on the state of the practice 80
Teaching Mining Software Repositories 80
A Developer Centered Bug Prediction Model 80
Towards Quantum-algorithms-as-a-service 79
Improving change prediction models with code smell-related information 78
Understanding developer practices and code smells diffusion in ai-enabled software: A preliminary study 77
Extract Package Refactoring in ARIES 77
Splicing Community Patterns and Smells: A Preliminary Study 77
Exploring Community Smells in Open-Source: An Automated Approach 75
When code smells meet ML: on the lifecycle of ML-specific code smells in ML-enabled systems 73
Smells like Teen Spirit: Improving Bug Prediction Performance using the Intensity of Code Smells 71
A Multivocal Literature Review of MLOps Tools and Features 70
Comparing heuristic and machine learning approaches for metric-based code smell detection 70
A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction 70
Automatic test smell detection using information retrieval techniques 69
Evaluating the adaptive selection of classifiers for cross-project bug prediction 68
Machine Learning for Educational Metaverse: How Far Are We? 66
Third-party libraries in mobile apps: When, how, and why developers update them 66
On the impact of code smells on the energy consumption of mobile applications 65
Refactoring android-specific energy smells: A plugin for android studio 65
AI-Based Emotion Recognition to Study Users’ Perception of Dark Patterns 61
How the Experience of Development Teams Relates to Assertion Density of Test Classes 61
Not All Bugs Are the Same:Understanding, Characterizing, and Classifying Bug Types 60
DeepIaC: Deep learning-based linguistic anti-pattern detection in IaC 60
A graph-based dataset of commit history of real-world Android apps 58
Security Testing in The Wild: An Interview Study 57
Just-in-time software vulnerability detection: Are we there yet? 57
Community Smell Detection and Refactoring in SLACK: The CADOCS Project 56
Scented since the beginning: On the diffuseness of test smells in automatically generated test code 56
Toward granular search-based automatic unit test case generation 55
The do's and don'ts of infrastructure code: A systematic gray literature review 55
Detecting code smells using machine learning techniques: Are we there yet? 55
Toward a Smell-aware Bug Prediction Model 53
Gender Diversity and Community Smells: Insights from the Trenches 53
Gender diversity and women in software teams: How do they affect community smells? 53
Just-in-time test smell detection and refactoring: The DARTS project 52
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation 51
WITHIN-PROJECT DEFECT PREDICTION OF INFRASTRUCTURE-AS-CODE USING PRODUCT AND PROCESS METRICS 51
Counterterrorism for Cyber-Physical Spaces: A Computer Vision Approach 51
The quantum frontier of software engineering: A systematic mapping study 50
THE SMELL OF FEAR: ON THE RELATION BETWEEN TEST SMELLS AND FLAKY TESTS 50
Totale 15.327
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Categoria #
all - tutte 51.584
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 51.584
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021329 0 0 0 0 29 17 55 8 95 24 35 66
2021/2022654 11 12 3 6 6 8 67 31 69 65 134 242
2022/2023908 93 90 30 82 106 189 15 70 122 20 58 33
2023/2024705 50 68 66 28 44 133 57 17 16 31 39 156
2024/20251.957 64 45 45 86 74 170 364 228 254 137 240 250
2025/202611.113 2.068 4.334 2.963 828 920 0 0 0 0 0 0 0
Totale 17.219