* ICSE 2018 *
Sun 27 May - Sun 3 June 2018 Gothenburg, Sweden
Fri 1 Jun 2018 09:40 - 10:00 at G1 room - Program Analysis II Chair(s): Christine Julien

Code smells are symptoms of poor design or implementation choices that have a negative effect on several aspects of software maintenance and evolution, such as program comprehension or change- and fault-proneness. This is why researchers have spent a lot of effort on devising methods that help developers to automatically detect them in source code. Almost all the techniques presented in literature are based on the analysis of structural properties extracted from source code, although alternative sources of information (e.g., textual analysis) for code smell detection have also been recently investigated. Nevertheless, some studies have indicated that code smells detected by existing tools based on the analysis of structural properties are generally ignored (and thus not refactored) by the developers. In this paper, we aim at understanding whether code smells detected using textual analysis are perceived and refactored by developers in the same or different way than code smells detected through structural analysis. To this aim, we set up two different experiments. We have first carried out a software repository mining study to analyze how developers act on textually or structurally detected code smells. Subsequently, we have conducted a user study with industrial developers and quality experts in order to qualitatively analyze how they perceive code smells identified using the two different sources of information. Results indicate that textually detected code smells are easier to identify and for this reason they are considered easier to refactor with respect to code smells detected using structural properties. On the other hand, the latter are often perceived as more severe, but more difficult to exactly identify and remove.

Fri 1 Jun
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09:00 - 10:30
Program Analysis IITechnical Papers / Journal first papers at G1 room
Chair(s): Christine JulienThe University of Texas at Austin
09:00
20m
Talk
Multi-Granular Conflict and Dependency Analysis in Software Engineering based on Graph Transformation
Technical Papers
Leen Lambers, Daniel StrüberUniversity of Koblenz-Landau, Germany, Gabriele TaentzerUniversität Marburg, Kristopher Born, Jevgenij Huebert
DOI Pre-print File Attached
09:20
20m
Talk
Self-Hiding Behavior in Android Apps: Detection and Characterization
Technical Papers
Zhiyong ShanWichita State University, Iulian NeamtiuNew Jersey Institute of Technology, Raina SamuelNew Jersey Institute of Technology
File Attached
09:40
20m
Talk
The Scent of a Smell: An Extensive Comparison between Textual and Structural Smells
Journal first papers
Fabio Palomba, Annibale PanichellaDeflt University of Technology, Andy ZaidmanTU Delft, Rocco OlivetoUniversity of Molise, Andrea De LuciaUniversity of Salerno
Pre-print
10:00
20m
Talk
ConflictJS: Finding and Understanding Conflicts Between JavaScript Libraries
Technical Papers
Jibesh PatraTechnical University of Darmstadt, Pooja N. Dixit, Michael PradelTU Darmstadt
Pre-print File Attached
10:20
10m
Talk
Q&A in groups
Technical Papers