UniSa - IRIS Institutional Research Information System

PALOMBA, Fabio
 Distribuzione geografica
Salva come PNG Salva come JPEG
Continente #
AS - Asia 11.656
NA - Nord America 5.542
EU - Europa 2.388
SA - Sud America 704
AF - Africa 126
OC - Oceania 14
Continente sconosciuto - Info sul continente non disponibili 3
Totale 20.433
Salva come PNG Salva come JPEG
Nazione #
HK - Hong Kong 8.529
US - Stati Uniti d'America 5.384
SG - Singapore 1.440
IT - Italia 752
CN - Cina 575
BR - Brasile 527
VN - Vietnam 473
RU - Federazione Russa 337
DE - Germania 323
FR - Francia 173
IE - Irlanda 119
IN - India 110
UA - Ucraina 107
TR - Turchia 99
FI - Finlandia 98
GB - Regno Unito 95
KR - Corea 77
NL - Olanda 76
CA - Canada 74
SE - Svezia 69
BD - Bangladesh 65
AR - Argentina 63
MX - Messico 51
IQ - Iraq 44
JP - Giappone 43
CZ - Repubblica Ceca 41
ES - Italia 41
ZA - Sudafrica 38
PL - Polonia 34
EC - Ecuador 32
PK - Pakistan 32
SA - Arabia Saudita 26
AT - Austria 25
ID - Indonesia 25
VE - Venezuela 22
NO - Norvegia 18
PH - Filippine 18
MA - Marocco 16
CL - Cile 15
CO - Colombia 15
EG - Egitto 14
KE - Kenya 13
UZ - Uzbekistan 13
PY - Paraguay 12
RO - Romania 12
DZ - Algeria 11
TN - Tunisia 10
AU - Australia 9
JO - Giordania 8
MY - Malesia 8
NP - Nepal 8
TH - Thailandia 8
BE - Belgio 7
CH - Svizzera 7
DO - Repubblica Dominicana 7
HR - Croazia 7
IL - Israele 7
PE - Perù 7
PT - Portogallo 7
AL - Albania 6
GR - Grecia 6
JM - Giamaica 6
KZ - Kazakistan 6
BG - Bulgaria 5
EE - Estonia 5
UY - Uruguay 5
BY - Bielorussia 4
HN - Honduras 4
IR - Iran 4
NZ - Nuova Zelanda 4
PS - Palestinian Territory 4
AE - Emirati Arabi Uniti 3
BO - Bolivia 3
CI - Costa d'Avorio 3
CR - Costa Rica 3
DK - Danimarca 3
ET - Etiopia 3
GE - Georgia 3
GT - Guatemala 3
KW - Kuwait 3
LB - Libano 3
MR - Mauritania 3
OM - Oman 3
PA - Panama 3
SK - Slovacchia (Repubblica Slovacca) 3
AZ - Azerbaigian 2
BF - Burkina Faso 2
BN - Brunei Darussalam 2
CY - Cipro 2
LT - Lituania 2
MD - Moldavia 2
NI - Nicaragua 2
QA - Qatar 2
SY - Repubblica araba siriana 2
TW - Taiwan 2
XK - ???statistics.table.value.countryCode.XK??? 2
A1 - Anonimo 1
AM - Armenia 1
AO - Angola 1
BA - Bosnia-Erzegovina 1
Totale 20.403
Salva come PNG Salva come JPEG
Città #
Hong Kong 8.515
San Jose 931
Singapore 769
Ann Arbor 510
Ashburn 463
Chandler 352
Dallas 337
Princeton 310
Woodbridge 231
Council Bluffs 194
The Dalles 188
Munich 175
Ho Chi Minh City 160
Beijing 159
Jacksonville 144
Lauterbourg 136
Houston 120
Dublin 116
Wilmington 107
Hanoi 96
Salerno 91
Los Angeles 82
Moscow 76
Naples 72
Izmir 68
São Paulo 64
New York 62
Helsinki 55
Milan 50
Rome 50
Santa Clara 49
Andover 47
Dong Ket 45
Fisciano 44
Boardman 41
Nuremberg 40
Tokyo 39
Amsterdam 38
Brno 38
Montreal 38
Columbus 36
Orem 35
Nanjing 33
Pellezzano 31
Chennai 30
Denver 30
Frankfurt am Main 30
Warsaw 29
Fairfield 24
Washington 24
Barcelona 23
Brooklyn 23
Stockholm 23
London 21
Da Nang 19
Dearborn 18
Haiphong 18
Johannesburg 18
Manchester 18
Mexico City 18
Poplar 18
Rio de Janeiro 18
Trondheim 18
Chicago 17
Pune 17
Atlanta 16
Düsseldorf 16
Guangzhou 16
Norwalk 16
Turku 16
Baghdad 15
Nijmegen 15
San Francisco 15
Belo Horizonte 14
Changsha 14
Riyadh 14
Seattle 14
Mumbai 13
Nairobi 13
Tashkent 13
Boston 12
Guayaquil 12
Nanchang 12
Quito 12
Redwood City 12
Salvador 12
Toronto 12
Ninh Bình 11
Nocera Inferiore 11
Seoul 11
Dhaka 10
Phoenix 10
Shenyang 10
Vienna 10
Brusciano 9
Buffalo 9
Istanbul 9
Lappeenranta 9
Montesilvano 9
Acerra 8
Totale 16.121
Salva come PNG Salva come JPEG
Nome #
An empirical study into the effects of transpilation on quantum circuit smells 871
Dealing With Cultural Dispersion: a Novel Theoretical Framework for Software Engineering Research and Practice 846
CASpER: A Plug-in for Automated Code Smell Detection and Refactoring 755
Software testing and Android applications: a large-scale empirical study 511
QUANTUMOONLIGHT: A low-code platform to experiment with quantum machine learning 498
The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study 471
Machine learning-based test smell detection 441
Beyond Technical Aspects: How Do Community Smells Influence the Intensity of Code Smells? 437
Software engineering for quantum programming: How far are we? 433
Recommending and Localizing Change Requests for Mobile Apps Based on User Reviews 413
Testing of mobile applications in the wild: A large-scale empirical study on android apps 411
Static test flakiness prediction: How Far Can We Go? 377
On the effectiveness of manual and automatic unit test generation: Ten years later 348
Quantum Software Engineering Issues and Challenges: Insights from Practitioners 340
Unsupervised Labor Intelligence Systems: A Detection Approach and Its Evaluation: A Case Study in the Netherlands 317
On the adequacy of static analysis warnings with respect to code smell prediction 313
A Systematic Literature Review on the Code Smells Datasets and Validation Mechanisms 270
Developer-Driven Code Smell Prioritization 266
Rubbing salt in the wound? A large-scale investigation into the effects of refactoring on security 249
SENEM: A software engineering-enabled educational metaverse 233
Into the ML-Universe: An improved classification and characterization of machine-learning projects 228
Comparing within-and cross-project machine learning algorithms for code smell detection 221
Technical debt in AI-enabled systems: On the prevalence, severity, impact, and management strategies for code and architecture 197
Do developers update third-party libraries in mobile apps? 178
VITRuM: A Plug-In for the Visualization of Test-Related Metrics 167
ARIES: An Eclipse plugin to Support Extract Class Refactoring 152
When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away) 152
Anti-Pattern Detection: Methods, Challenges, and Open Issues 151
A Textual-based Technique for Smell Detection 146
An Experimental Investigation on the Innate Relationship between Quality and Refactoring 138
User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps 138
Lightweight Assessment of Test-Case Effectiveness using Source-Code-Quality Indicators 138
There and back again: Can you compile that snapshot? 136
Enhancing change prediction models using developer-related factors 136
Do they Really Smell Bad? A Study on Developers’ Perception of Bad Code Smells 134
An empirical study on the performance of vulnerability prediction models evaluated applying real-world labelling 133
When and Why Your Code Starts to Smell Bad 131
Landfill: an Open Datase of Code Smells with Public Evaluation 131
Developer-Related Factors in Change Prediction: An Empirical Assessment 131
Automatic Test Case Generation: What If Test Code Quality Matters? 130
An Empirical Investigation into the Nature of Test Smells 129
On the Role of Developer’s Scattered Changes in Bug Prediction 128
Toward Understanding the Impact of Refactoring on Program Comprehension 127
Mining Version Histories for Detecting Code Smells 127
Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method 125
A large-scale empirical study on the lifecycle of code smell co-occurrences 125
Meet C4SE: Your New Collaborator for Software Engineering Tasks 119
Detecting Bad Smells in Source Code using Change History Information 115
Investigating code smell co-occurrences using association rule learning: A replicated study 115
Understanding developer practices and code smells diffusion in ai-enabled software: A preliminary study 112
Good Fences Make Good Neighbours? On the Impact of Cultural and Geographical Dispersion on Community Smells 111
Towards Quantum-algorithms-as-a-service 109
An Exploratory Study on the Relationship between Changes and Refactoring 108
On the Diffusion of Test Smells in Automatically Generated Test Code: An Empirical Study 107
Lightweight detection of Android-specific code smells: The aDoctor project 107
Fairness-aware machine learning engineering: how far are we? 105
Textual Analysis and Software Quality: Challenges and Opportunities 105
Supporting Extract Class Refactoring in Eclipse: The ARIES Project 104
PETrA: A software-based tool for estimating the energy profile of android applications 103
A Developer Centered Bug Prediction Model 103
The Scent of a Smell: An Extensive Comparison between Textual and Structural Smells 101
The making of accessible Android applications: an empirical study on the state of the practice 100
Software-based energy profiling of Android apps: Simple, efficient and reliable? 100
Improving change prediction models with code smell-related information 100
Splicing Community Patterns and Smells: A Preliminary Study 100
The do's and don'ts of infrastructure code: A systematic gray literature review 99
Extract Package Refactoring in ARIES 98
Teaching Mining Software Repositories 96
A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction 95
Using Large Language Models to Support Software Engineering Documentation in Waterfall Life Cycles: Are We There Yet? 95
Exploring Community Smells in Open-Source: An Automated Approach 93
Comparing heuristic and machine learning approaches for metric-based code smell detection 93
When code smells meet ML: on the lifecycle of ML-specific code smells in ML-enabled systems 90
A Multivocal Literature Review of MLOps Tools and Features 89
A graph-based dataset of commit history of real-world Android apps 88
Just-in-time software vulnerability detection: Are we there yet? 87
Smells like Teen Spirit: Improving Bug Prediction Performance using the Intensity of Code Smells 86
AI-Based Emotion Recognition to Study Users’ Perception of Dark Patterns 85
Refactoring android-specific energy smells: A plugin for android studio 85
Evaluating the adaptive selection of classifiers for cross-project bug prediction 84
On the impact of code smells on the energy consumption of mobile applications 84
Automatic test smell detection using information retrieval techniques 83
null 83
Machine Learning for Educational Metaverse: How Far Are We? 82
The quantum frontier of software engineering: A systematic mapping study 80
Transparent Machine Learning for Type 1 Diabetes Diagnosis from Gene Expression Data 79
Not All Bugs Are the Same:Understanding, Characterizing, and Classifying Bug Types 79
On the adoption and effects of source code reuse on defect proneness and maintenance effort 78
Security Testing in The Wild: An Interview Study 78
Community Smell Detection and Refactoring in SLACK: The CADOCS Project 78
DeepIaC: Deep learning-based linguistic anti-pattern detection in IaC 78
How the Experience of Development Teams Relates to Assertion Density of Test Classes 77
Toward granular search-based automatic unit test case generation 76
Early and Realistic Exploitability Prediction of Just-Disclosed Software Vulnerabilities: How Reliable Can It Be? 75
Just-in-time test smell detection and refactoring: The DARTS project 75
The Yin and Yang of Software Quality: On the Relationship between Design Patterns and Code Smells 73
WITHIN-PROJECT DEFECT PREDICTION OF INFRASTRUCTURE-AS-CODE USING PRODUCT AND PROCESS METRICS 73
Detecting code smells using machine learning techniques: Are we there yet? 73
Gender diversity and women in software teams: How do they affect community smells? 71
Toward a Smell-aware Bug Prediction Model 70
Totale 17.561
Salva come PNG Salva come JPEG
Categoria #
all - tutte 59.047
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 59.047
Salva come PNG Salva come JPEG


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021101 0 0 0 0 0 0 0 0 0 0 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
2025/202614.745 2.068 4.334 2.963 828 1.114 423 1.070 288 673 788 196 0
Totale 20.851