ICSME 2023
Sun 1 - Fri 6 October 2023 Bogotá, Colombia

Productivity in software development is a complex, multi-faceted concept expressed as a combination of effectiveness and efficiency. From a quantitative lens, productivity is often interpreted from a collection of activities and metrics such as the number of commits, lines of code added and removed, and the number of issues closed. Software development team managers often seek to track developers’ activity and productivity for short-term planning and medium-term team performance measurement. Existing tools and platforms analyze and visualize individual aspects of developers’ activity, productivity, or quality. However, a tool that fuses multiple information streams representing productivity and quality aspects is missing. The proposed tool QConnect fills the gap by mining, analyzing, and fusing information from software development-relevant streams. QConnect, on the one hand, mines the repository and issue tracking metadata from GitHub and Jira issue tracking system; on the other hand, it gathers information related to code quality using external tools Designite and RefactoringMiner. By tying-in productivity measures with code quality information, stakeholders can assess not only how fast but also how well the project is progressing. Website: https://qconnect.dev Demo video: https://youtu.be/MFqYVQnWxgQ

Wed 4 Oct

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

10:30 - 12:00
Software QualityJournal First Track / Tool Demo Track / New Ideas and Emerging Results Track / Research Track at Session 2 Room - RGD 04
Chair(s): Valentina Lenarduzzi University of Oulu, César França Universidade Federal Rural de Pernambuco
10:30
16m
Talk
Featherweight Assisted Vulnerability Discovery
Journal First Track
David Binkley Loyola University Maryland, Leon Moonen Simula Research Laboratory and BI Norwegian Business School, Sibren Isaacman Loyola University Maryland
10:46
11m
Talk
DebtViz: A Tool for Identifying, Measuring, Visualizing, and Monitoring Self-Admitted Technical Debt
Tool Demo Track
Yikun Li University of Groningen, Mohamed Soliman , Paris Avgeriou University of Groningen, The Netherlands, Maarten van Ittersum
10:57
11m
Talk
Mining and Fusing Productivity Metrics with Code Quality Information at Scale
Tool Demo Track
Pre-print
11:08
16m
Talk
An Investigation of Confusing Code Patterns in JavaScript
Journal First Track
Adriano Torres Computer Science Department, University of Brasília, Caio Oliveira Computer Science Department, University of Brasília, Marcio Okimoto Computer Science Department, University of Brasília, Diego Marcilio USI Università della Svizzera italiana, Pedro Queiroga Informatics Center, Federal University of Pernambuco, Fernando Castor Utrecht University & Federal University of Pernambuco, Rodrigo Bonifácio Computer Science Department - University of Brasília, Edna Dias Canedo University of Brasilia (UnB), Márcio Ribeiro Federal University of Alagoas, Brazil, Eduardo Monteiro Statistics Department, University of Brasília
11:24
11m
Talk
StaticTracker: A Diff Tool for Static Code Warnings
Tool Demo Track
Junjie Li Concordia University, Jinqiu Yang Concordia University
11:35
11m
Talk
Capturing Contextual Relationships of Buggy Classes for Detecting Quality-Related Bugs
New Ideas and Emerging Results Track
Rrezarta Krasniqi University of North Carolina at Charlotte, Hyunsook Do University of North Texas
11:46
14m
Live Q&A
1:1 Q&A
Research Track