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ICSE 2020
Wed 24 June - Thu 16 July 2020
Wed 8 Jul 2020 16:46 - 16:54 at Silla - A12-Testing Chair(s): Sasa Misailovic

Code smells are sub-optimal implementation choices applied by developers that have the effect of negatively impacting, among others, the change-proneness of the affected classes. Based on this consideration, in this paper we conjecture that code smell-related information can be effectively exploited to improve the performance of change prediction models, i.e., models having the goal of indicating which classes are more likely to change in the future. We exploit the so-called intensity index—a previously defined metric that captures the severity of a code smell—and evaluate its contribution when added as additional feature in the context of three state of the art change prediction models based on product, process, and developer-based features. We also compare the performance achieved by the proposed model with a model based on previously defined antipattern metrics, a set of indicators computed considering the history of code smells in files. Our results report that (i) the prediction performance of the intensity-including models is statistically better than the baselines and, (ii) the intensity is a better predictor than antipattern metrics. We observed some orthogonality between the set of change-prone and non-change-prone classes correctly classified by the models relying on intensity and antipattern metrics: for this reason, we also devise and evaluate a smell-aware combined change prediction model including product, process, developer-based, and smell-related features. We show that the F-Measure of this model is notably higher than other models.

Wed 8 Jul

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16:05 - 17:05
A12-TestingJournal First / New Ideas and Emerging Results / Demonstrations / Technical Papers at Silla
Chair(s): Sasa Misailovic University of Illinois at Urbana-Champaign
16:05
12m
Talk
Practical Fault Detection in Puppet ProgramsArtifact ReusableTechnicalArtifact Available
Technical Papers
Thodoris Sotiropoulos Athens University of Economics and Business, Dimitris Mitropoulos Athens University of Economics and Business, Diomidis Spinellis Athens University of Economics and Business
16:17
8m
Talk
Empirical Assessment of Multimorphic TestingJ1
Journal First
Paul Temple PReCISE, NaDi, UNamur, Mathieu Acher (Univ Rennes, Inria, IRISA), Jean-Marc Jézéquel Univ Rennes - IRISA
16:25
3m
Talk
RTj: a Java framework for detecting and refactoring rotten green test casesDemo
Demonstrations
Matias Martinez Université Polytechnique Hauts-de-France, Anne Etien Université de Lille, CNRS, Inria, Centrale Lille, UMR 9189 –CRIStAL, Stéphane Ducasse INRIA Lille, Christopher Fuhrman École de technologie supérieure
Pre-print Media Attached
16:28
6m
Talk
A Container-Based Infrastructure for Fuzzy-Driven Root Causing of Flaky TestsNIER
New Ideas and Emerging Results
Valerio Terragni Università della Svizzera Italiana, Pasquale Salza University of Zurich, Filomena Ferrucci University of Salerno
Pre-print Media Attached
16:34
12m
Talk
Learning from, Understanding, and Supporting DevOps Artifacts for DockerArtifact ReusableTechnicalArtifact Available
Technical Papers
Jordan Henkel University of Wisconsin–Madison, Christian Bird Microsoft Research, Shuvendu K. Lahiri Microsoft Research, Thomas Reps University of Wisconsin-Madison, USA
16:46
8m
Talk
Improving Change Prediction Models with Code Smell-Related InformationJ1
Journal First
Gemma Catolino Delft University of Technology, Fabio Palomba University of Salerno, Francesca Arcelli Fontana University of Milano-Bicocca, Andrea De Lucia University of Salerno, Andy Zaidman TU Delft, Filomena Ferrucci University of Salerno
DOI Pre-print
16:54
3m
Talk
SMRL: A Metamorphic Security Testing Tool for Web SystemsDemo
Demonstrations
Phu X. Mai University of Luxembourg, Arda Goknil SnT, University of Luxembourg, Fabrizio Pastore University of Luxembourg, Lionel C. Briand SnT Centre/University of Luxembourg