Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Rasheed Zeeshan"'
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
Disruptions to medical infrastructure during disasters pose significant risks to critically ill patients with advanced chronic kidney disease or end-stage renal disease. To enhance patient access to dialysis treatment under such conditions, it is cru
Externí odkaz:
http://arxiv.org/abs/2410.02956
Autor:
Duan, Minxuan, Qian, Yinlong, Zhao, Lingyi, Zhou, Zihao, Rasheed, Zeeshan, Yu, Rose, Shafique, Khurram
Existing methods for anomaly detection often fall short due to their inability to handle the complexity, heterogeneity, and high dimensionality inherent in real-world mobility data. In this paper, we propose DeepBayesic, a novel framework that integr
Externí odkaz:
http://arxiv.org/abs/2410.01011
Autor:
Stanford, Chris, Adari, Suman, Liao, Xishun, He, Yueshuai, Jiang, Qinhua, Kuai, Chenchen, Ma, Jiaqi, Tung, Emmanuel, Qian, Yinlong, Zhao, Lingyi, Zhou, Zihao, Rasheed, Zeeshan, Shafique, Khurram
Collecting real-world mobility data is challenging. It is often fraught with privacy concerns, logistical difficulties, and inherent biases. Moreover, accurately annotating anomalies in large-scale data is nearly impossible, as it demands meticulous
Externí odkaz:
http://arxiv.org/abs/2409.03024
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
As Large Language Models (LLMs) have become integral to both research and daily operations, rigorous evaluation is crucial. This assessment is important not only for individual tasks but also for understanding their societal impact and potential risk
Externí odkaz:
http://arxiv.org/abs/2404.01023