Sfoglia per Autore
A New Approach for Software Quality Assessment Based on Automated Code Anomalies Detection
2023 Biaggi, A; Azadi, U; Arcelli Fontana, F
Automated Detection of Software Performance Antipatterns in Java-Based Applications
2023 Trubiani, C; Pinciroli, R; Biaggi, A; ARCELLI FONTANA, F
Detecting Architecture Debt in Micro-Service Open-Source Projects
2023 Capilla, R; Fontana, F; Mikkonen, T; Bacchiega, P; Salamanca, V
Kubernetes-Enabled Detection and Resolution of Architectural Smells for Microservices
2023 Soldani, J; Rendina, D; Fontana, F; Brogi, A
Impact of Architectural Smells on Software Performance: an Exploratory Study
2023 Arcelli Fontana, F; Camilli, M; Rendina, D; Taraboi, A; Trubiani, C
Hints on Designing and Running Project-based Exams for a Software Engineering Course
2022 Raibulet, C; Arcelli, F; Pigazzini, I
PILOT: Synergy between Text Processing and Neural Networks to Detect Self-Admitted Technical Debt
2022 Di Salle, A; Rota, A; Nguyen, P; Di Ruscio, D; Arcelli Fontana, F; Sala, I
On the relation between architectural smells and source code changes
2022 Sas, D; Avgeriou, P; Pigazzini, I; Arcelli Fontana, F
Exploiting dynamic analysis for architectural smell detection: a preliminary study
2022 Pigazzini, I; Di Nucci, D; Fontana, F; Belotti, M
A study on correlations between architectural smells and design patterns
2021 Pigazzini, I; ARCELLI FONTANA, F; Walter, B
The perception of Architectural Smells in industrial practice
2021 Sas, D; Pigazzini, I; Avgeriou, P; Arcelli Fontana, F
Evaluating the Architectural Debt of IoT Projects
2021 Fontana, F; Pigazzini, I
An Overview and Comparison of Technical Debt Measurement Tools
2021 Avgeriou, P; Taibi, D; Ampatzoglou, A; Arcelli Fontana, F; Besker, T; Chatzigeorgiou, A; Lenarduzzi, V; Martini, A; Moschou, N; Pigazzini, I; Saarimaki, N; Sas, D; de Toledo, S; Tsintzira, A
Beyond Technical Aspects: How Do Community Smells Influence the Intensity of Code Smells?
2021 Palomba, F; Tamburri, D; Arcelli Fontana, F; Oliveto, R; Zaidman, A; Serebrenik, A
Architectural technical debt of multiagent systems development platforms
2021 Pigazzini, I; Briola, D; Arcelli, F
DebtHunter: A machine learning-based approach for detecting self-admitted technical debt
2021 Sala, I; Tommasel, A; Arcelli Fontana, F
Impact of Opportunistic Reuse Practices to Technical Debt
2021 Capilla, R; Mikkonen, T; Carrillo, C; ARCELLI FONTANA, F; Pigazzini, I; Lenarduzzi, V
A systematic literature review on Technical Debt prioritization: Strategies, processes, factors, and tools
2021 Lenarduzzi, V; Besker, T; Taibi, D; Martini, A; Arcelli Fontana, F
Internal Software Quality Evaluation of Self-adaptive Systems Using Metrics, Patterns, and Smells
2021 Raibulet, C; Arcelli, F; Carettoni, S
Improving change prediction models with code smell-related information
2020 Catolino, G; Palomba, F; Arcelli, F; De Lucia, A; Zaidman, A; Ferrucci, F
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