Sfoglia per Autore
Technical Debt in Agile Development: Report on the Ninth Workshop on Managing Technical Debt
2017 ARCELLI FONTANA, F; Chatzigeorgiou, A; Trumler, W; Izurieta, C; Avgeriou, P; Nord, R
IEEE International Workshop on Machine Learning Techniques for Software Quality Evaluation
2017 ARCELLI FONTANA, F; Walter, B; Zanoni, M
Change prediction through coding rules violations
2017 Tollin, I; Arcelli Fontana, F; Zanoni, M; Roveda, R
Evaluation of self-Adaptive systems: A women perspective
2017 Raibulet, C; ARCELLI FONTANA, F
Ninth international workshop on managing technical debt report on the MTD 2017 workshop
2017 Arcelli Fontana, F; Trumler, W; Izurieta, C; Nord, R
Code smell severity classification using machine learning techniques
2017 ARCELLI FONTANA, F; Zanoni, M
Smells like teen spirit: Improving bug prediction performance using the intensity of code smells
2017 Palomba, F; Zanoni, M; Arcelli Fontana, F; De Lucia, A; Oliveto, R
Students' feedback in using GitHub in a project development for a software engineering course
2017 ARCELLI FONTANA, F; Raibulet, C
Arcan: A tool for architectural smells detection
2017 ARCELLI FONTANA, F; Pigazzini, I; Roveda, R; Tamburri, D; Zanoni, M; Nitto, E
Automatic detection of instability architectural smells
2017 ARCELLI FONTANA, F; Pigazzini, I; Roveda, R; Zanoni, M
Alternatives to the Knowledge Discovery Metamodel: An Investigation
2017 ARCELLI FONTANA, F; Raibulet, C; Zanoni, M
Model-driven reverse engineering approaches: A systematic literature review
2017 Raibulet, C; ARCELLI FONTANA, F; Zanoni, M
Does the migration to GitHub relate to internal software quality?
2017 Roveda, R; ARCELLI FONTANA, F; Raibulet, C; Zanoni, M; Rampazzo, F
An Overview on Quality Evaluation of Self-Adaptive Systems
2017 Raibulet, C; Arcelli Fontana, F; Capilla, R; Carrillo, C
Tool support for evaluating architectural debt of an existing system: An experience report
2016 ARCELLI FONTANA, F; Roveda, R; Zanoni, M
Information-driven network analysis: evolving the “complex networks” paradigm
2016 Pareschi, R; ARCELLI FONTANA, F
Comparing and experimenting machine learning techniques for code smell detection
2016 ARCELLI FONTANA, F; Mäntylä, M; Zanoni, M; Marino, A
Anti-pattern and code smell false positives: Preliminary conceptualisation and classification
2016 ARCELLI FONTANA, F; Dietrich, J; Walter, B; Yamashita, A; Zanoni, M
On evaluating the impact of the refactoring of architectural problems on software quality
2016 ARCELLI FONTANA, F; Roveda, R; Vittori, S; Metelli, A; Saldarini, S; Mazzei, F
Technical Debt Indexes Provided by Tools: A Preliminary Discussion
2016 ARCELLI FONTANA, F; Roveda, R; Zanoni, M
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