AIware 2024
Mon 15 - Tue 16 July 2024 Porto de Galinhas, Brazil, Brazil
co-located with FSE 2024

With software development increasingly reliant on innovative technologies, there is a growing interest in exploring the potential of generative AI tools to streamline processes and enhance productivity. In this scenario, this paper investigates the integration of generative AI tools within software development, focusing on understanding their uses, benefits, and challenges to software professionals, in particular, looking at aspects of productivity. Through a pilot case study involving software practitioners working in different roles, we gathered valuable experiences on the integration of generative AI tools into their daily work routines. Our findings reveal a generally positive perception of these tools in individual productivity while also highlighting the need to address identified limitations. Overall, our research sets the stage for further exploration into the evolving landscape of software development practices with the integration of generative AI tools.

Tue 16 Jul

Displayed time zone: Brasilia, Distrito Federal, Brazil change

14:00 - 15:30
Industry Talk4 + AIware for Software Lifecycle ActivitiesMain Track / Industry Statements and Demo Track / Late Breaking Arxiv Track at Mandacaru
Chair(s): Filipe Cogo Centre for Software Excellence, Huawei Canada
14:00
20m
Industry talk
AI in Software Engineering at Google: Progress and the Path Ahead
Industry Statements and Demo Track
Satish Chandra Google, Inc
14:20
10m
Paper
A Comparative Analysis of Large Language Models for Code Documentation Generation
Main Track
Shubhang Shekhar Dvivedi IIIT Delhi, Vyshnav Vijay IIIT Delhi, Sai Leela Rahul Pujari IIIT Delhi, Shoumik Lodh IIIT Delhi, Dhruv Kumar Indraprastha Institute of Information Technology, Delhi
DOI
14:30
10m
Paper
AI-Assisted Assessment of Coding Practices in Modern Code Review
Main Track
Manushree Vijayvergiya Google, Malgorzata Salawa Google, Ivan Budiselic Google, Dan Zheng Google DeepMind, Pascal Lamblin Google, Marko Ivanković Google; Universität Passau, Juanjo Carin Google, Mateusz Lewko Google Inc, Jovan Andonov Google, Goran Petrović Google Inc, Danny Tarlow Google, Petros Maniatis Google DeepMind, René Just University of Washington
DOI
14:40
10m
Paper
The Role of Generative AI in Software Development Productivity: A Pilot Case Study
Main Track
Mariana Coutinho CESAR School, Lorena Marques CESAR School, Anderson Santos CESAR School, Marcio Dahia CESAR School, Cesar França CESAR School, Ronnie de Souza Santos University of Calgary
DOI
14:50
10m
Paper
Effectiveness of ChatGPT for Static Analysis: How Far Are We?
Main Track
Mohammad Mahdi Mohajer York University, Reem Aleithan York University, Canada, Nima Shiri Harzevili York University, Moshi Wei York University, Alvine Boaye Belle York University, Hung Viet Pham York University, Song Wang York University
DOI
15:00
5m
Paper
Addressing Compiler Errors: Stack Overflow or Large Language Models?
Late Breaking Arxiv Track
Patricia Widjojo The University of Melbourne, Christoph Treude Singapore Management University
Pre-print
15:05
25m
Live Q&A
Session Q&A and topic discussions
Main Track