Tootfinder

ISAAC: Intelligent, Scalable, Agile, and Accelerated CPU Verification via LLM-aided FPGA Parallelism
Jialin Sun, Yuchen Hu, Dean You, Yushu Du, Hui Wang, Xinwei Fang, Weiwei Shan, Nan Guan, Zhe Jiang
https://arxiv.org/abs/2510.10225

ISAAC: Intelligent, Scalable, Agile, and Accelerated CPU Verification via LLM-aided FPGA Parallelism
Functional verification is a critical bottleneck in integrated circuit development, with CPU verification being especially time-intensive and labour-consuming. Industrial practice relies on differential testing for CPU verification, yet faces bottlenecks at nearly each stage of the framework pipeline: front-end stimulus generation lacks micro-architectural awareness, yielding low-quality and redundant tests that impede coverage closure and miss corner cases. Meanwhile, back-end simulation infra…

The product triad is obsolete. The ideal software development team actually has four members:
#tech #agile #softwaredevelopment

An LLM-based multi-agent framework for agile effort estimation
Thanh-Long Bui, Hoa Khanh Dam, Rashina Hoda
https://arxiv.org/abs/2509.14483 https://arxiv.o…

An LLM-based multi-agent framework for agile effort estimation
Effort estimation is a crucial activity in agile software development, where teams collaboratively review, discuss, and estimate the effort required to complete user stories in a product backlog. Current practices in agile effort estimation heavily rely on subjective assessments, leading to inaccuracies and inconsistencies in the estimates. While recent machine learning-based methods show promising accuracy, they cannot explain or justify their estimates and lack the capability to interact with…

Crosslisted article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- Why Does the Engineering Manager Still Exist in Agile Software Development?
Ravi Kalluri

Reverse Engineering User Stories from Code using Large Language Models
Mohamed Ouf, Haoyu Li, Michael Zhang, Mariam Guizani
https://arxiv.org/abs/2509.19587 https://

Reverse Engineering User Stories from Code using Large Language Models
User stories are essential in agile development, yet often missing or outdated in legacy and poorly documented systems. We investigate whether large language models (LLMs) can automatically recover user stories directly from source code and how prompt design impacts output quality. Using 1,750 annotated C++ snippets of varying complexity, we evaluate five state-of-the-art LLMs across six prompting strategies. Results show that all models achieve, on average, an F1 score of 0.8 for code up to 20…

Evaluating Classical Software Process Models as Coordination Mechanisms for LLM-Based Software Generation
Duc Minh Ha, Phu Trac Kien, Tho Quan, Anh Nguyen-Duc
https://arxiv.org/abs/2509.13942

Evaluating Classical Software Process Models as Coordination Mechanisms for LLM-Based Software Generation
[Background] Large Language Model (LLM)-based multi-agent systems (MAS) are transforming software development by enabling autonomous collaboration. Classical software processes such asWaterfall, V-Model, and Agile offer structured coordination patterns that can be repurposed to guide these agent interactions. [Aims] This study explores how traditional software development processes can be adapted as coordination scaffolds for LLM based MAS and examines their impact on code quality, cost, and pr…

TPSQLi: Test Prioritization for SQL Injection Vulnerability Detection in Web Applications
Guan-Yan Yang, Farn Wang, You-Zong Gu, Ya-Wen Teng, Kuo-Hui Yeh, Ping-Hsueh Ho, Wei-Ling Wen
https://arxiv.org/abs/2509.10920

TPSQLi: Test Prioritization for SQL Injection Vulnerability Detection in Web Applications
The rapid proliferation of network applications has led to a significant increase in network attacks. According to the OWASP Top 10 Projects report released in 2021, injection attacks rank among the top three vulnerabilities in software projects. This growing threat landscape has increased the complexity and workload of software testing, necessitating advanced tools to support agile development cycles. This paper introduces a novel test prioritization method for SQL injection vulnerabilities to…