ICSME 2023
Sun 1 - Fri 6 October 2023 Bogotá, Colombia
Thu 5 Oct 2023 10:46 - 11:02 at Session 2 Room - RGD 04 - Software Changes Chair(s): Tushar Sharma, Shurui Zhou

Defects, or bugs, often form during software development. Identifying the root cause of defects is essential to improve code quality, evaluate testing methods, and support defect prediction. Examples of defect-inducing changes can be found using the SZZ algorithm to trace the textual history of defect-fixing changes back to the defect-inducing changes that they fix in line-based code. The line-based approach of the SZZ method is ineffective for visual code that represents source code graphically rather than textually. In this paper we adapt SZZ for visual code and present the “SZZ Visual Code” (SZZ-VC) algorithm, that finds changes in visual code based on the differences of graphical elements rather than differences of lines to detect defect-inducing changes. We validated the algorithm for an industry-made AAA video game and 20 music visual programming defects across 12 open source projects. Our results show that SZZ-VC is feasible for detecting defects in visual code for 3 different visual programming languages.

Thu 5 Oct

Displayed time zone: Bogota, Lima, Quito, Rio Branco change

10:30 - 12:00
Software ChangesResearch Track / Journal First Track / Industry Track / Tool Demo Track at Session 2 Room - RGD 04
Chair(s): Tushar Sharma Dalhousie University, Shurui Zhou University of Toronto
CCBERT: Self-Supervised Code Change Representation Learning
Research Track
Xin Zhou Singapore Management University, Singapore, Bowen Xu North Carolina State University, DongGyun Han Royal Holloway, University of London, Zhou Yang Singapore Management University, Junda He Singapore Management University, David Lo Singapore Management University
Identifying Defect-Inducing Changes in Visual Code
Industry Track
Kalvin Eng Electronic Arts, Abram Hindle University of Alberta, Alexander Senchenko Electronic Arts
On the Relation of Method Popularity to Breaking Changes in the Maven Ecosystem
Journal First Track
Mehdi Keshani Delft University of Technology, Simcha Vos Delft University of Technology, Sebastian Proksch Delft University of Technology, Netherlands
Link to publication
Wait, wasn't that code here before? Detecting Outdated Software Documentation
Tool Demo Track
Wen Siang Tan The University of Adelaide, Markus Wagner Monash University, Australia, Christoph Treude University of Melbourne
Recommending Code Reviews Leveraging Code Changes with Structured Information Retrieval
Research Track
Ohiduzzaman Shuvo Dalhousie University, Parvez Mahbub Dalhousie University, Masud Rahman Dalhousie University
Live Q&A
1:1 Q&A
Research Track