AIware 2024 – Proceedings

1st ACM International Conference on AI-Powered Software (AIware 2024)

Frontmatter

Main Track

Identifying the Factors That Influence Trust in AI Code Completion
Adam Brown, Sarah D'Angelo, Ambar Murillo, Ciera Jaspan, and Collin Green
(Google, USA; Google, New Zealand; Google, Germany)

Publisher's Version

Unveiling the Potential of a Conversational Agent in Developer Support: Insights from Mozilla’s PDF.js Project
João Correia, Morgan C. Nicholson, Daniel Coutinho, Caio Barbosa, Marco Castelluccio, Marco Gerosa, Alessandro Garcia, and Igor Steinmacher
(PUC-Rio, Brazil; University of São Paulo, Brazil; Mozilla, United Kingdom; Northern Arizona University, USA)

Publisher's Version

Function+Data Flow: A Framework to Specify Machine Learning Pipelines for Digital Twinning
Eduardo de Conto, Blaise Genest, and Arvind Easwaran
(Nanyang Technological University, Singapore; CNRS@CREATE, Singapore; IPAL, Singapore)

Publisher's Version

A Transformer-Based Approach for Smart Invocation of Automatic Code Completion
Aral de Moor, Arie van Deursen, and Maliheh Izadi
(Delft University of Technology, Netherlands)

Publisher's Version

From Human-to-Human to Human-to-Bot Conversations in Software Engineering
Ranim Khojah, Francisco Gomes de Oliveira Neto, and Philipp Leitner
(Chalmers - University of Gothenburg, Sweden)

Publisher's Version

Unveiling Assumptions: Exploring the Decisions of AI Chatbots and Human Testers
Francisco Gomes de Oliveira Neto
(Chalmers - University of Gothenburg, Sweden)

Publisher's Version Published Artifact Artifacts Available

Green AI in Action: Strategic Model Selection for Ensembles in Production
Nienke Nijkamp, June Sallou, Niels van der Heijden, and Luís Cruz
(Delft University of Technology, Netherlands; Deloitte Risk Advisory, Netherlands; University of Amsterdam, Netherlands)

Publisher's Version

Measuring Impacts of Poisoning on Model Parameters and Embeddings for Large Language Models of Code
Aftab Hussain, Md Rafiqul Islam Rabin, and Mohammad Amin Alipour
(University of Houston, USA)

Publisher's Version

A Comparative Analysis of Large Language Models for Code Documentation Generation
Shubhang Shekhar Dvivedi, Vyshnav Vijay, Sai Leela Rahul Pujari, Shoumik Lodh, and Dhruv Kumar
(IIIT Delhi, India)

Publisher's Version

An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping
Boming Xia, Qinghua Lu, Liming Zhu, and Zhenchang Xing
(CSIRO’s Data61, Australia; UNSW, Australia; Australian National University, Australia)

Publisher's Version

Towards AI for Software Systems
Nafise Eskandani and Guido Salvaneschi
(ABB Corporate Research Center, Germany; University of St. Gallen, Switzerland)

Publisher's Version

AI-Assisted Assessment of Coding Practices in Modern Code Review
Manushree Vijayvergiya, Małgorzata Salawa, Ivan Budiselić, Dan Zheng, Pascal Lamblin, Marko Ivanković, Juanjo Carin, Mateusz Lewko, Jovan Andonov, Goran Petrović, Daniel Tarlow, Petros Maniatis, and René Just
(Google, Switzerland; Google DeepMind, USA; Google DeepMind, Canada; Google, USA; University of Washington, USA)

Publisher's Version

Leveraging Machine Learning for Optimal Object-Relational Database Mapping in Software Systems
Sasan Azizian, Elham Rastegari, and Hamid Bagheri
(University of Nebraska-Lincoln, USA; University of Creighton, USA)

Publisher's Version

A Case Study of LLM for Automated Vulnerability Repair: Assessing Impact of Reasoning and Patch Validation Feedback
Ummay Kulsum, Haotian Zhu, Bowen Xu, and Marcelo d'Amorim
(North Carolina State University, USA; Singapore Management University, Singapore)

Publisher's Version

SolMover: Smart Contract Code Translation Based on Concepts
Rabimba Karanjai, Lei Xu, and Weidong Shi
(University of Houston, USA; Kent State University, USA)

Publisher's Version

Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs
Sylvain Kouemo Ngassom, Arghavan Moradi Dakhel, Florian Tambon, and Foutse Khomh
(Polytechnique Montréal, Canada)

Publisher's Version

The Role of Generative AI in Software Development Productivity: A Pilot Case Study
Mariana Coutinho, Lorena Marques, Anderson Santos, Marcio Dahia, Cesar França, and Ronnie de Souza Santos
(CESAR School, Brazil; University of Calgary, Canada)

Publisher's Version

The Art of Programming: Challenges in Generating Code for Creative Applications
Michael Cook
(King’s College London, United Kingdom)

Publisher's Version

Automatic Programming vs. Artificial Intelligence
James Noble
(Creative Research & Programming, New Zealand; Australian National University, Australia)

Publisher's Version

Neuro-Symbolic Approach to Certified Scientific Software Synthesis
Hamid Bagheri, Mehdi Mirakhorli, Mohamad Fazelnia, Ibrahim Mujhid, and Md Rashedul Hasan
(University of Nebraska-Lincoln, USA; University of Hawaii at Manoa, USA)

Publisher's Version

Effectiveness of ChatGPT for Static Analysis: How Far Are We?
Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, and Song Wang
(York University, Canada)

Publisher's Version Published Artifact Artifacts Available

RUBICON: Rubric-Based Evaluation of Domain-Specific Human AI Conversations
Param Biyani, Yasharth Bajpai, Arjun Radhakrishna, Gustavo Soares, and Sumit Gulwani
(Microsoft, India; Microsoft, USA)

Publisher's Version Info

Challenge Track

Investigating the Potential of Using Large Language Models for Scheduling
Deddy Jobson and Yilin Li
(Mercari, Japan)

Publisher's Version

Automated Scheduling for Thematic Coherence in Conferences
Mahzabeen Emu, Tasnim Ahmed, and Salimur Choudhury
(Queen’s University, Canada)

Publisher's Version

Conference Program Scheduling using Genetic Algorithms
Rucha Deshpande, Aishwarya Devi Akila Pandian, and Vigneshwaran Dharmalingam
(Purdue University, USA)

Publisher's Version

Industry Statements and Demo Track

AI Assistant in JetBrains IDE: Insights and Challenges (Invited Talk)
Andrey Sokolov
(JetBrains, Netherlands)

Publisher's Version

AI-Assisted User Intent Formalization for Programs: Problem and Applications (Invited Talk)
Shuvendu K. Lahiri
(Microsoft Research, USA)

Publisher's Version

AI-Based Digital Twins: A Tale of Innovation in Norwegian Public Sectors (Invited Talk)
Shaukat Ali
(Simula, Norway)

Publisher's Version

Agents for Data Science: From Raw Data to AI-Generated Notebooks using LLMs and Code Execution (Invited Talk)
Jiahao Cai
(Google, USA)

Publisher's Version

AI in Software Engineering at Google: Progress and the Path Ahead (Invited Talk)
Satish Chandra
(Google, USA)

Publisher's Version

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