UniSa - IRIS Institutional Research Information System

PALOMBA, Fabio
 Distribuzione geografica
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Continente #
NA - Nord America 2.638
EU - Europa 1.558
AS - Asia 921
SA - Sud America 134
AF - Africa 9
OC - Oceania 6
Continente sconosciuto - Info sul continente non disponibili 1
Totale 5.267
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Nazione #
US - Stati Uniti d'America 2.620
IT - Italia 515
SG - Singapore 385
RU - Federazione Russa 327
CN - Cina 266
DE - Germania 225
BR - Brasile 126
IE - Irlanda 111
UA - Ucraina 98
FI - Finlandia 77
TR - Turchia 71
VN - Vietnam 51
HK - Hong Kong 50
SE - Svezia 43
CZ - Repubblica Ceca 39
NL - Olanda 30
KR - Corea 29
IN - India 25
AT - Austria 17
FR - Francia 17
GB - Regno Unito 12
CA - Canada 10
RO - Romania 8
PK - Pakistan 7
AL - Albania 6
BE - Belgio 6
GR - Grecia 6
IQ - Iraq 6
MX - Messico 6
CH - Svizzera 5
ZA - Sudafrica 5
AU - Australia 4
EE - Estonia 4
ES - Italia 4
NP - Nepal 4
SA - Arabia Saudita 4
BD - Bangladesh 3
DK - Danimarca 3
EC - Ecuador 3
JO - Giordania 3
JP - Giappone 3
KZ - Kazakistan 3
MA - Marocco 3
AR - Argentina 2
AZ - Azerbaigian 2
BN - Brunei Darussalam 2
CY - Cipro 2
NZ - Nuova Zelanda 2
PE - Perù 2
SK - Slovacchia (Repubblica Slovacca) 2
A1 - Anonimo 1
BG - Bulgaria 1
CO - Colombia 1
EG - Egitto 1
HR - Croazia 1
IL - Israele 1
JM - Giamaica 1
MY - Malesia 1
OM - Oman 1
RS - Serbia 1
SV - El Salvador 1
TW - Taiwan 1
UZ - Uzbekistan 1
Totale 5.267
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Città #
Ann Arbor 510
Chandler 352
Princeton 310
Woodbridge 231
Singapore 184
Jacksonville 144
Ashburn 131
Munich 126
Houston 111
Dublin 109
Wilmington 107
Beijing 84
Moscow 74
Izmir 68
Salerno 66
Helsinki 52
Hong Kong 49
Andover 47
Dong Ket 45
Milan 41
Brno 38
Boardman 37
Nuremberg 34
Nanjing 32
Fisciano 31
Pellezzano 31
Naples 27
Fairfield 24
The Dalles 24
Washington 22
Amsterdam 18
Council Bluffs 18
Dearborn 18
Dallas 16
Norwalk 16
Guangzhou 15
Pune 15
Changsha 14
Rome 14
Nanchang 12
Redwood City 12
Düsseldorf 11
Los Angeles 11
Nocera Inferiore 11
Santa Clara 11
Frankfurt am Main 10
Seattle 10
Shenyang 10
Brusciano 9
Salvador 9
Belo Horizonte 8
São Paulo 8
Villaricca 8
Falls Church 7
Jiaxing 7
Lappeenranta 7
Shanghai 7
Tianjin 7
Genoa 6
Tirana 6
Vienna 6
Cologne 5
Hebei 5
Islamabad 5
Maiori 5
New York 5
Saint Petersburg 5
San Diego 5
Zurich 5
Bologna 4
Capaccio 4
Dalian 4
Delhi 4
Giulianova 4
Hamburg 4
Montreal 4
San Nicola la Strada 4
Sarno 4
Soledade 4
Aachen 3
Acton 3
Amman 3
Barcelona 3
Bari 3
Basrah 3
Cluj-Napoca 3
Columbus 3
Guayaquil 3
Ho Chi Minh City 3
Indiana 3
Jyväskylä 3
Kathmandu 3
Kunming 3
Mafikeng 3
Mestre 3
Mogi Guaçu 3
Mumbai 3
Nocera Superiore 3
Orange 3
Padova 3
Totale 3.621
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Nome #
Machine learning-based test smell detection 171
ARIES: An Eclipse plugin to Support Extract Class Refactoring 114
When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away) 110
User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps 105
Do they Really Smell Bad? A Study on Developers’ Perception of Bad Code Smells 102
When and Why Your Code Starts to Smell Bad 100
A Textual-based Technique for Smell Detection 100
Mining Version Histories for Detecting Code Smells 98
On the Role of Developer’s Scattered Changes in Bug Prediction 98
Automatic Test Case Generation: What If Test Code Quality Matters? 98
There and back again: Can you compile that snapshot? 97
Landfill: an Open Datase of Code Smells with Public Evaluation 95
Anti-Pattern Detection: Methods, Challenges, and Open Issues 92
Detecting Bad Smells in Source Code using Change History Information 86
Investigating code smell co-occurrences using association rule learning: A replicated study 86
Recommending and Localizing Change Requests for Mobile Apps Based on User Reviews 84
Enhancing change prediction models using developer-related factors 84
Lightweight detection of Android-specific code smells: The aDoctor project 83
An Experimental Investigation on the Innate Relationship between Quality and Refactoring 81
Supporting Extract Class Refactoring in Eclipse: The ARIES Project 79
On the Diffusion of Test Smells in Automatically Generated Test Code: An Empirical Study 79
Developer-Related Factors in Change Prediction: An Empirical Assessment 78
The Scent of a Smell: An Extensive Comparison between Textual and Structural Smells 78
Textual Analysis and Software Quality: Challenges and Opportunities 77
An Empirical Investigation into the Nature of Test Smells 75
Software-based energy profiling of Android apps: Simple, efficient and reliable? 74
Exploring Community Smells in Open-Source: An Automated Approach 67
Extract Package Refactoring in ARIES 64
Smells like Teen Spirit: Improving Bug Prediction Performance using the Intensity of Code Smells 63
An Exploratory Study on the Relationship between Changes and Refactoring 60
A large-scale empirical study on the lifecycle of code smell co-occurrences 59
PETrA: A software-based tool for estimating the energy profile of android applications 58
Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method 57
A Developer Centered Bug Prediction Model 55
Automatic test smell detection using information retrieval techniques 53
Developer-Driven Code Smell Prioritization 52
DeepIaC: Deep learning-based linguistic anti-pattern detection in IaC 52
Understanding developer practices and code smells diffusion in ai-enabled software: A preliminary study 49
On the adequacy of static analysis warnings with respect to code smell prediction 49
The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study 48
Not All Bugs Are the Same:Understanding, Characterizing, and Classifying Bug Types 47
Software testing and Android applications: a large-scale empirical study 46
Do developers update third-party libraries in mobile apps? 45
CASpER: A Plug-in for Automated Code Smell Detection and Refactoring 44
Detecting code smells using machine learning techniques: Are we there yet? 43
On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation 42
Counterterrorism for Cyber-Physical Spaces: A Computer Vision Approach 42
Toward a Smell-aware Bug Prediction Model 40
Evaluating the adaptive selection of classifiers for cross-project bug prediction 40
Lightweight Assessment of Test-Case Effectiveness using Source-Code-Quality Indicators 40
Improving change prediction models with code smell-related information 40
A Multivocal Literature Review of MLOps Tools and Features 39
Gender Diversity and Community Smells: Insights from the Trenches 39
A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction 39
THE SMELL OF FEAR: ON THE RELATION BETWEEN TEST SMELLS AND FLAKY TESTS 38
The do's and don'ts of infrastructure code: A systematic gray literature review 38
Crowdsourcing user reviews to support the evolution of mobile apps 37
WITHIN-PROJECT DEFECT PREDICTION OF INFRASTRUCTURE-AS-CODE USING PRODUCT AND PROCESS METRICS 37
Comparing heuristic and machine learning approaches for metric-based code smell detection 36
Gender diversity and women in software teams: How do they affect community smells? 36
Refactoring android-specific energy smells: A plugin for android studio 36
On the effectiveness of manual and automatic unit test generation: Ten years later 35
Just-in-time test smell detection and refactoring: The DARTS project 35
Comparing within-and cross-project machine learning algorithms for code smell detection 35
Testing of mobile applications in the wild: A large-scale empirical study on android apps 35
Software engineering for quantum programming: How far are we? 35
Machine Learning for Educational Metaverse: How Far Are We? 34
Splicing Community Patterns and Smells: A Preliminary Study 34
On the impact of code smells on the energy consumption of mobile applications 33
Just-in-time software vulnerability detection: Are we there yet? 33
Community Smell Detection and Refactoring in SLACK: The CADOCS Project 32
VITRuM: A Plug-In for the Visualization of Test-Related Metrics 31
AI-Based Emotion Recognition to Study Users’ Perception of Dark Patterns 30
Rubbing salt in the wound? A large-scale investigation into the effects of refactoring on security 30
Third-party libraries in mobile apps: When, how, and why developers update them 30
The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems 30
A graph-based dataset of commit history of real-world Android apps 30
How the Experience of Development Teams Relates to Assertion Density of Test Classes 29
Good Fences Make Good Neighbours? On the Impact of Cultural and Geographical Dispersion on Community Smells 28
QUANTUMOONLIGHT: A low-code platform to experiment with quantum machine learning 28
The Making of Accessible Android Applications: An Empirical Study on the State of the Practice 28
Fairness-aware machine learning engineering: how far are we? 27
Understanding Flaky Tests: The Developer's Perspective 27
Toward Understanding the Impact of Refactoring on Program Comprehension 25
Toward a catalog of software quality metrics for infrastructure code 24
On the adoption and effects of source code reuse on defect proneness and maintenance effort 23
Unmasking data secrets: An empirical investigation into data smells and their impact on data quality 23
Gender Diversity and Community Smells: A Double-Replication Study on Brazilian Software Teams 23
The quantum frontier of software engineering: A systematic mapping study 22
“Through the looking‐glass …” An empirical study on blob infrastructure blueprints in the Topology and Orchestration Specification for Cloud Applications 22
Using Large Language Models to Support Software Engineering Documentation in Waterfall Life Cycles: Are We There Yet? 22
“There and Back Again?” On the Influence of Software Community Dispersion Over Productivity 21
Security Risk Assessment on Cloud: A Systematic Mapping Study 21
Scented since the beginning: On the diffuseness of test smells in automatically generated test code 21
On the use of artificial intelligence to deal with privacy in IoT systems: A systematic literature review 20
The Yin and Yang of Software Quality: On the Relationship between Design Patterns and Code Smells 20
The making of accessible Android applications: an empirical study on the state of the practice 20
On the Evolution of Inheritance and Delegation Mechanisms and Their Impact on Code Quality 20
A Preliminary Conceptualization and Analysis on Automated Static Analysis Tools for Vulnerability Detection in Android Apps 20
Dealing With Cultural Dispersion: a Novel Theoretical Framework for Software Engineering Research and Practice 20
Totale 5.110
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Categoria #
all - tutte 27.701
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 27.701
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020128 0 0 0 0 0 0 0 0 0 0 105 23
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
2024/20251.470 64 45 45 86 74 170 364 228 254 137 3 0
Totale 5.619