UniSa - IRIS Institutional Research Information System

PALOMBA, Fabio
 Distribuzione geografica
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Continente #
NA - Nord America 2.861
EU - Europa 1.675
AS - Asia 1.163
SA - Sud America 234
AF - Africa 14
OC - Oceania 11
Continente sconosciuto - Info sul continente non disponibili 1
Totale 5.959
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Nazione #
US - Stati Uniti d'America 2.823
IT - Italia 529
SG - Singapore 422
RU - Federazione Russa 328
DE - Germania 277
CN - Cina 273
BR - Brasile 218
HK - Hong Kong 188
IE - Irlanda 111
UA - Ucraina 99
FI - Finlandia 94
TR - Turchia 73
VN - Vietnam 55
KR - Corea 54
SE - Svezia 44
CZ - Repubblica Ceca 39
IN - India 32
NL - Olanda 31
GB - Regno Unito 23
AT - Austria 22
CA - Canada 22
FR - Francia 20
IQ - Iraq 12
MX - Messico 11
PK - Pakistan 9
ES - Italia 8
RO - Romania 8
ZA - Sudafrica 8
AU - Australia 7
BD - Bangladesh 7
AL - Albania 6
AR - Argentina 6
BE - Belgio 6
EC - Ecuador 6
GR - Grecia 6
JP - Giappone 6
CH - Svizzera 5
PL - Polonia 5
SA - Arabia Saudita 5
EE - Estonia 4
JO - Giordania 4
MA - Marocco 4
NP - Nepal 4
NZ - Nuova Zelanda 4
UZ - Uzbekistan 4
DK - Danimarca 3
KZ - Kazakistan 3
AZ - Azerbaigian 2
BN - Brunei Darussalam 2
CY - Cipro 2
PE - Perù 2
SK - Slovacchia (Repubblica Slovacca) 2
A1 - Anonimo 1
BA - Bosnia-Erzegovina 1
BG - Bulgaria 1
BH - Bahrain 1
BY - Bielorussia 1
CO - Colombia 1
DO - Repubblica Dominicana 1
EG - Egitto 1
HR - Croazia 1
IL - Israele 1
IR - Iran 1
JM - Giamaica 1
MY - Malesia 1
NI - Nicaragua 1
OM - Oman 1
PA - Panama 1
RS - Serbia 1
SV - El Salvador 1
TN - Tunisia 1
TW - Taiwan 1
VE - Venezuela 1
Totale 5.959
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Città #
Ann Arbor 510
Chandler 352
Princeton 310
Woodbridge 231
Singapore 203
Hong Kong 187
Munich 173
Jacksonville 144
Ashburn 141
Houston 112
Dublin 109
Wilmington 107
Beijing 91
Moscow 74
Izmir 68
Salerno 68
Helsinki 52
Andover 47
The Dalles 47
Dong Ket 45
Milan 42
Brno 38
Nuremberg 38
Boardman 37
Columbus 33
Nanjing 32
Dallas 31
Fisciano 31
Pellezzano 31
Naples 29
Fairfield 24
Rome 23
Washington 22
Amsterdam 19
Council Bluffs 18
Dearborn 18
Los Angeles 17
Norwalk 16
Santa Clara 16
Turku 16
Guangzhou 15
Pune 15
São Paulo 15
Changsha 14
Nanchang 12
Redwood City 12
Düsseldorf 11
Nocera Inferiore 11
Seattle 11
Belo Horizonte 10
Frankfurt am Main 10
Montreal 10
New York 10
Shenyang 10
Brusciano 9
Salvador 9
San Francisco 9
Lappeenranta 8
Vienna 8
Villaricca 8
Falls Church 7
Jiaxing 7
Shanghai 7
Tianjin 7
Barcelona 6
Brooklyn 6
Genoa 6
Guayaquil 6
Tirana 6
Boston 5
Chicago 5
Cologne 5
Delhi 5
Hebei 5
Ho Chi Minh City 5
Islamabad 5
Maiori 5
Rio de Janeiro 5
Saint Petersburg 5
San Diego 5
Warsaw 5
Zurich 5
Amman 4
Bologna 4
Capaccio 4
Dalian 4
Giulianova 4
Hamburg 4
Mumbai 4
San Nicola la Strada 4
Sarno 4
Soledade 4
Tashkent 4
Toronto 4
Aachen 3
Acton 3
Adelaide 3
Baghdad 3
Bari 3
Basrah 3
Totale 4.008
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Nome #
Machine learning-based test smell detection 182
ARIES: An Eclipse plugin to Support Extract Class Refactoring 117
When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away) 114
User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps 112
Automatic Test Case Generation: What If Test Code Quality Matters? 106
A Textual-based Technique for Smell Detection 105
Do they Really Smell Bad? A Study on Developers’ Perception of Bad Code Smells 104
There and back again: Can you compile that snapshot? 103
When and Why Your Code Starts to Smell Bad 102
On the Role of Developer’s Scattered Changes in Bug Prediction 101
Mining Version Histories for Detecting Code Smells 100
Landfill: an Open Datase of Code Smells with Public Evaluation 99
Anti-Pattern Detection: Methods, Challenges, and Open Issues 97
Detecting Bad Smells in Source Code using Change History Information 94
Lightweight detection of Android-specific code smells: The aDoctor project 89
Recommending and Localizing Change Requests for Mobile Apps Based on User Reviews 89
Investigating code smell co-occurrences using association rule learning: A replicated study 88
Enhancing change prediction models using developer-related factors 88
Developer-Related Factors in Change Prediction: An Empirical Assessment 86
An Experimental Investigation on the Innate Relationship between Quality and Refactoring 85
On the Diffusion of Test Smells in Automatically Generated Test Code: An Empirical Study 82
Supporting Extract Class Refactoring in Eclipse: The ARIES Project 81
The Scent of a Smell: An Extensive Comparison between Textual and Structural Smells 81
An Empirical Investigation into the Nature of Test Smells 80
Textual Analysis and Software Quality: Challenges and Opportunities 79
Software-based energy profiling of Android apps: Simple, efficient and reliable? 77
Exploring Community Smells in Open-Source: An Automated Approach 72
An Exploratory Study on the Relationship between Changes and Refactoring 68
Smells like Teen Spirit: Improving Bug Prediction Performance using the Intensity of Code Smells 66
A large-scale empirical study on the lifecycle of code smell co-occurrences 65
Extract Package Refactoring in ARIES 64
Developer-Driven Code Smell Prioritization 61
A Developer Centered Bug Prediction Model 60
Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method 59
PETrA: A software-based tool for estimating the energy profile of android applications 58
Automatic test smell detection using information retrieval techniques 57
On the adequacy of static analysis warnings with respect to code smell prediction 56
Understanding developer practices and code smells diffusion in ai-enabled software: A preliminary study 55
The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study 54
Software testing and Android applications: a large-scale empirical study 53
DeepIaC: Deep learning-based linguistic anti-pattern detection in IaC 53
CASpER: A Plug-in for Automated Code Smell Detection and Refactoring 52
Not All Bugs Are the Same:Understanding, Characterizing, and Classifying Bug Types 50
Improving change prediction models with code smell-related information 47
Toward a Smell-aware Bug Prediction Model 46
Do developers update third-party libraries in mobile apps? 46
Lightweight Assessment of Test-Case Effectiveness using Source-Code-Quality Indicators 46
Comparing heuristic and machine learning approaches for metric-based code smell detection 46
A Multivocal Literature Review of MLOps Tools and Features 45
Testing of mobile applications in the wild: A large-scale empirical study on android apps 45
The do's and don'ts of infrastructure code: A systematic gray literature review 45
AI-Based Emotion Recognition to Study Users’ Perception of Dark Patterns 44
Gender Diversity and Community Smells: Insights from the Trenches 44
A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction 44
Detecting code smells using machine learning techniques: Are we there yet? 44
Counterterrorism for Cyber-Physical Spaces: A Computer Vision Approach 44
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation 43
Evaluating the adaptive selection of classifiers for cross-project bug prediction 43
THE SMELL OF FEAR: ON THE RELATION BETWEEN TEST SMELLS AND FLAKY TESTS 43
Splicing Community Patterns and Smells: A Preliminary Study 43
Gender diversity and women in software teams: How do they affect community smells? 42
A graph-based dataset of commit history of real-world Android apps 42
Machine Learning for Educational Metaverse: How Far Are We? 41
Crowdsourcing user reviews to support the evolution of mobile apps 41
On the effectiveness of manual and automatic unit test generation: Ten years later 41
Comparing within-and cross-project machine learning algorithms for code smell detection 41
Just-in-time software vulnerability detection: Are we there yet? 41
Software engineering for quantum programming: How far are we? 41
Refactoring android-specific energy smells: A plugin for android studio 40
WITHIN-PROJECT DEFECT PREDICTION OF INFRASTRUCTURE-AS-CODE USING PRODUCT AND PROCESS METRICS 40
Just-in-time test smell detection and refactoring: The DARTS project 39
Community Smell Detection and Refactoring in SLACK: The CADOCS Project 37
On the impact of code smells on the energy consumption of mobile applications 37
Third-party libraries in mobile apps: When, how, and why developers update them 37
Toward Understanding the Impact of Refactoring on Program Comprehension 36
QUANTUMOONLIGHT: A low-code platform to experiment with quantum machine learning 36
Rubbing salt in the wound? A large-scale investigation into the effects of refactoring on security 36
VITRuM: A Plug-In for the Visualization of Test-Related Metrics 36
Good Fences Make Good Neighbours? On the Impact of Cultural and Geographical Dispersion on Community Smells 34
The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems 34
Fairness-aware machine learning engineering: how far are we? 33
The quantum frontier of software engineering: A systematic mapping study 32
How the Experience of Development Teams Relates to Assertion Density of Test Classes 32
The Making of Accessible Android Applications: An Empirical Study on the State of the Practice 32
Understanding Flaky Tests: The Developer's Perspective 31
Toward a catalog of software quality metrics for infrastructure code 29
Toward granular search-based automatic unit test case generation 28
Unmasking data secrets: An empirical investigation into data smells and their impact on data quality 28
On the adoption and effects of source code reuse on defect proneness and maintenance effort 27
SUCCESS AND FAILURE IN SOFTWARE ENGINEERING: A FOLLOWUP SYSTEMATIC LITERATURE REVIEW 27
Predicting the Emergence of Community Smells using Socio- Technical Metrics: A Machine-Learning Approach 27
An empirical study on the performance of vulnerability prediction models evaluated applying real-world labelling 27
“There and Back Again?” On the Influence of Software Community Dispersion Over Productivity 26
An empirical study into the effects of transpilation on quantum circuit smells 26
Dealing With Cultural Dispersion: a Novel Theoretical Framework for Software Engineering Research and Practice 26
The secret life of software communities: What we know and What we Don't know 26
Using Large Language Models to Support Software Engineering Documentation in Waterfall Life Cycles: Are We There Yet? 26
The Yin and Yang of Software Quality: On the Relationship between Design Patterns and Code Smells 25
A Preliminary Conceptualization and Analysis on Automated Static Analysis Tools for Vulnerability Detection in Android Apps 25
Scented since the beginning: On the diffuseness of test smells in automatically generated test code 25
Totale 5.632
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Categoria #
all - tutte 30.824
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 30.824
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021366 0 14 19 4 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
2025/2026207 207 0 0 0 0 0 0 0 0 0 0 0
Totale 6.313