MSR 2020
Mon 29 - Tue 30 June 2020
co-located with ICSE 2020
Mon 29 Jun 2020 12:50 - 13:00 at MSR:Zoom - Code Smells Chair(s): Alessandro Garcia

Code smells are symptoms of poor implementation choices applied during software evolution. While previous research has devoted a notable effort in the definition of automated solutions to detect them in source code, still little is known on how to support developers when prioritizing them. Some works attempted to deliver solutions that can rank smell instances based on their severity, computed on the basis of software metrics. However, this may not be enough since it has been shown that the recommendations provided by current approaches do not take the developer’s perception of design issues into account. In this paper, we perform a first step toward the concept of emph{developer-driven} code smell prioritization and propose a machine learner able to rank code smells according to the perceived criticality that developers assign to them. We test our technique in an empirical study to investigate its accuracy but also the features that are more relevant for classifying the developer’s perception. Finally, we compare our approach with a state-of-the-art technique. Key findings show that the devised solution has an F-Measure up to 85% and outperforms the baseline approach.

Mon 29 Jun

Displayed time zone: (UTC) Coordinated Universal Time change

12:00 - 13:00
Code SmellsTechnical Papers / Registered Reports / Keynote / MSR Awards / FOSS Award / Education / Data Showcase / Mining Challenge / MSR Challenge Proposals / Ask Me Anything at MSR:Zoom
Chair(s): Alessandro Garcia PUC-Rio

Q/A & Discussion of Session Papers over Zoom (Joining info available on Slack)

12:00
10m
Live Q&A
Detecting Video Game-Specific Bad Smells in Unity ProjectsMSR - Technical Paper
Technical Papers
Pre-print Media Attached
12:10
10m
Live Q&A
Investigating Severity Thresholds for Test SmellsMSR - Technical Paper
Technical Papers
Davide Spadini Delft University of Technology, Netherlands, Martin Schvarcbacher , Ana Maria Oprescu , Magiel Bruntink Software Improvement Group, Alberto Bacchelli University of Zurich
DOI Pre-print Media Attached
12:20
10m
Live Q&A
On the Prevalence, Impact, and Evolution of SQL code smells in Data-Intensive SystemsMSR - Technical Paper
Technical Papers
Biruk Asmare Muse , Masud Rahman Dalhousie University, Csaba Nagy Software Institute - USI, Lugano, Anthony Cleve University of Namur, Foutse Khomh Polytechnique Montréal, Giuliano Antoniol Polytechnique Montréal
Pre-print Media Attached
12:30
10m
Live Q&A
Multi-language Design Smells: A Backstage PerspectiveMSR - Registered Reports
Registered Reports
A: Mouna Abidi , A: Moses Openja , A: Foutse Khomh Polytechnique Montréal
Pre-print Media Attached
12:40
10m
Live Q&A
The Scent of Deep Learning Code: An Empirical StudyMSR - Technical Paper
Technical Papers
Hadhemi Jebnoun , Masud Rahman Dalhousie University, Foutse Khomh Polytechnique Montréal, Houssem Ben Braiek
Pre-print Media Attached
12:50
10m
Live Q&A
Developer-Driven Code Smell PrioritizationMSR - Technical Paper
Technical Papers
Fabiano Pecorelli University of Salerno, Fabio Palomba University of Salerno, Foutse Khomh Polytechnique Montréal, Andrea De Lucia University of Salerno
Pre-print Media Attached