Zobrazeno 1 - 10
of 3 538
pro vyhledávání: '"P, Abrahamsson"'
Autor:
Rousi, Rebekah, Makitalo, Niko, Samani, Hooman, Kemell, Kai-Kristian, de Cerqueira, Jose Siqueira, Vakkuri, Ville, Mikkonen, Tommi, Abrahamsson, Pekka
The emergence of generative artificial intelligence (GAI) and large language models (LLMs) such ChatGPT has enabled the realization of long-harbored desires in software and robotic development. The technology however, has brought with it novel ethica
Externí odkaz:
http://arxiv.org/abs/2411.14009
Autor:
Sillberg, Chalisa Veesommai, De Cerqueira, Jose Siqueira, Sillberg, Pekka, Kemell, Kai-Kristian, Abrahamsson, Pekka
The EU AI Act was created to ensure ethical and safe Artificial Intelligence (AI) development and deployment across the EU. This study aims to identify key challenges and strategies for helping enterprises focus on resources effectively. To achieve t
Externí odkaz:
http://arxiv.org/abs/2411.08535
Autor:
Rasheed, Zeeshan, Sami, Malik Abdul, Rasku, Jussi, Kemell, Kai-Kristian, Zhang, Zheying, Harjamaki, Janne, Siddeeq, Shahbaz, Lahti, Sami, Herda, Tomas, Nurminen, Mikko, Lavesson, Niklas, de Cerqueira, Jose Siqueira, Hasan, Toufique, Khan, Ayman, Hasan, Mahade, Saari, Mika, Rantanen, Petri, Soini, Jari, Abrahamsson, Pekka
Present-day software development faces three major challenges: complexity, time consumption, and high costs. Developing large software systems often requires battalions of teams and considerable time for meetings, which end without any action, result
Externí odkaz:
http://arxiv.org/abs/2411.08507
Autor:
de Cerqueira, José Antonio Siqueira, Agbese, Mamia, Rousi, Rebekah, Xi, Nannan, Hamari, Juho, Abrahamsson, Pekka
AI-based systems, including Large Language Models (LLMs), impact millions by supporting diverse tasks but face issues like misinformation, bias, and misuse. Ethical AI development is crucial as new technologies and concerns emerge, but objective, pra
Externí odkaz:
http://arxiv.org/abs/2411.08881
This paper presents an experience report on the development of Retrieval Augmented Generation (RAG) systems using PDF documents as the primary data source. The RAG architecture combines generative capabilities of Large Language Models (LLMs) with the
Externí odkaz:
http://arxiv.org/abs/2410.15944
Autor:
Sami, Malik Abdul, Waseem, Muhammad, Zhang, Zheying, Rasheed, Zeeshan, Systä, Kari, Abrahamsson, Pekka
Requirements Engineering (RE) plays a pivotal role in software development, encompassing tasks such as requirements elicitation, analysis, specification, and change management. Despite its critical importance, RE faces challenges including communicat
Externí odkaz:
http://arxiv.org/abs/2409.00038
Autor:
Sami, Abdul Malik, Rasheed, Zeeshan, Waseem, Muhammad, Zhang, Zheying, Tomas, Herda, Abrahamsson, Pekka
Large Language Models (LLMs) are widely used in Software Engineering (SE) for various tasks, including generating code, designing and documenting software, adding code comments, reviewing code, and writing test scripts. However, creating test scripts
Externí odkaz:
http://arxiv.org/abs/2406.07021
Autor:
Sami, Malik Abdul, Waseem, Muhammad, Rasheed, Zeeshan, Saari, Mika, Systä, Kari, Abrahamsson, Pekka
Large language models are redefining software engineering by implementing AI-powered techniques throughout the whole software development process, including requirement gathering, software architecture, code generation, testing, and deployment. Howev
Externí odkaz:
http://arxiv.org/abs/2406.05381
Autor:
Rasheed, Zeeshan, Sami, Malik Abdul, Waseem, Muhammad, Kemell, Kai-Kristian, Wang, Xiaofeng, Nguyen, Anh, Systä, Kari, Abrahamsson, Pekka
In this paper, we present a novel approach to improving software quality and efficiency through a Large Language Model (LLM)-based model designed to review code and identify potential issues. Our proposed LLM-based AI agent model is trained on large
Externí odkaz:
http://arxiv.org/abs/2404.18496
Autor:
Sami, Malik Abdul, Rasheed, Zeeshan, Waseem, Muhammad, Zhang, Zheying, Herda, Tomas, Abrahamsson, Pekka
Large Language Models (LLMs) are revolutionizing Software Engineering (SE) by introducing innovative methods for tasks such as collecting requirements, designing software, generating code, and creating test cases, among others. This article focuses o
Externí odkaz:
http://arxiv.org/abs/2405.01564