Results 31 to 40 of about 1,260,399 (325)

A UML-based static verification framework for security [PDF]

open access: yes, 2010
Secure software engineering is a new research area that has been proposed to address security issues during the development of software systems. This new area of research advocates that security characteristics should be considered from the early stages ...
Siveroni, I.   +2 more
core   +1 more source

An Analysis on Java Programming Language Decompiler Capabilities

open access: yesApplied Computer Systems, 2018
Along with new artifact development, software engineering also includes other tasks. One of these tasks is the reverse engineering of binary artifacts. This task can be performed by using special “decompiler” software.
Gusarovs Konstantins
doaj   +1 more source

Using ChatGPT in Software Requirements Engineering: A Comprehensive Review

open access: yesFuture Internet
Large language models (LLMs) have had a significant impact on several domains, including software engineering. However, a comprehensive understanding of LLMs’ use, impact, and potential limitations in software engineering is still emerging and remains in
Nuno Marques   +2 more
doaj   +1 more source

Knowledge-Guided Sentiment Analysis Via Learning From Natural Language Explanations

open access: yesIEEE Access, 2021
Sentiment analysis is crucial for studying public opinion since it can provide us with valuable information. Existing sentiment analysis methods rely on finding the sentiment element from the content of user-generated.
Zunwang Ke   +4 more
doaj   +1 more source

Research directions for using LLM in software requirement engineering: a systematic review

open access: yesFrontiers in Computer Science
IntroductionNatural Language Processing (NLP) and Large Language Models (LLMs) are transforming the landscape of software engineering, especially in the domain of requirement engineering.
Arshia Hemmat   +4 more
doaj   +1 more source

A Classification Algorithm for Tourist Question Texts Integrated with Deep Learning Models [PDF]

open access: yesJisuanji gongcheng, 2020
To improve the utilization of key features of tourist question texts, this paper proposes a classification algorithm for tourist question texts integrated with the Word Level Convolutional Neural Network(WL-CNN) and the Sentence Level Bi-directional Long
MA Zhekang, Diliyaer Paerhati, Zaokere Kadeer, Tuergen Yibulayin, Xerali Setti, Aishan Wumaier
doaj   +1 more source

The i* framework for goal-oriented modeling [PDF]

open access: yes, 2016
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-39417-6i* is a widespread framework in the software engineering field that supports goal-oriented modeling of socio-technical systems and organizations.
Cares, Carlos   +3 more
core   +2 more sources

Large language models for qualitative research in software engineering: exploring opportunities and challenges

open access: yesInternational Conference on Automated Software Engineering, 2023
The recent surge in the integration of Large Language Models (LLMs) like ChatGPT into qualitative research in software engineering, much like in other professional domains, demands a closer inspection. This vision paper seeks to explore the opportunities
Muneera Bano   +3 more
semanticscholar   +1 more source

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

open access: yesFEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes   +3 more
wiley   +1 more source

An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering

open access: yesIEEE Access
Recent advances in natural language processing (NLP) have led to the development of revolutionized pretrained language models (PLMs) impacting various NLP tasks, including sentiment analysis in software engineering.
Md Shafikuzzaman   +4 more
doaj   +1 more source

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