activity
20222025
most citedThe impact of feature importance methods on the interpretation of defect classifiers

132 citations · 162 across the 12 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cs.SE2024

UPC Sentinel: An Accurate Approach for Detecting Upgradeability Proxy Contracts in Ethereum

Amir M. Ebrahimi, Bram Adams, Gustavo A. Oliva +1

Software applications that run on a blockchain platform are known as DApps. DApps are built using smart contracts, which are immutable after deployment. Just like any real-world so…

cs.SE2024

Predicting post-release defects with knowledge units (KUs) of programming languages: an empirical study

Md Ahasanuzzaman, Gustavo A. Oliva, Ahmed E. Hassan +2

Defect prediction plays a crucial role in software engineering, enabling developers to identify defect-prone code and improve software quality. While extensive research has focused…

cs.SE2024

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap

Gopi Krishnan Rajbahadur, Gustavo A. Oliva, Dayi Lin +2

The rapid expansion of foundation models (FMs), such as large language models (LLMs), has given rise to FMware, software systems that integrate FM(s) as core components. While buil…

cs.SE2024

Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap

Ahmed E. Hassan, Gustavo A. Oliva, Dayi Lin +3

The rise of AI-assisted software engineering (SE 2.0), powered by Foundation Models (FMs) and FM-powered coding assistants, has shown promise in improving developer productivity. H…

cs.SE2024

Predicting long time contributors with knowledge units of programming languages: an empirical study

Md Ahasanuzzaman, Gustavo A. Oliva, Ahmed E. Hassan

Predicting potential long-time contributors (LTCs) early allows project maintainers to effectively allocate resources and mentoring to enhance their development and retention. Mapp…

cs.SE2024★ 6 cited

Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers

Ahmed E. Hassan, Gustavo A. Oliva, Dayi Lin +3

The advent of Foundation Models (FMs) and AI-powered copilots has transformed the landscape of software development, offering unprecedented code completion capabilities and enhanci…

cs.SE2024★ 2 cited

Rethinking Software Engineering in the Foundation Model Era: A Curated Catalogue of Challenges in the Development of Trustworthy FMware

Ahmed E. Hassan, Dayi Lin, Gopi Krishnan Rajbahadur +9

Foundation models (FMs), such as Large Language Models (LLMs), have revolutionized software development by enabling new use cases and business models. We refer to software built us…