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Synthesizing secure software development activities for linear and agile lifecycle models
Software, Practice & Experience, 2022Application security is an important concern, and security activities to support software development lifecycle processes, such as specification, design, implementation, and testing are increasingly in need.
M. Alenezi +3 more
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Quantum Software Development Lifecycle
Quantum Software Engineering, 2021With recent advances in the development of more powerful quantum computers, the research area of quantum software engineering is emerging, having the goal to provide concepts, principles, and guidelines to develop high-quality quantum applications.
Benjamin Weder +3 more
semanticscholar +1 more source
Application of Blockchain for Trusted Coordination in Collaborative Software Development
Annual International Computer Software and Applications Conference, 2020The coordination of developing various complex and large-scale projects using computers has been well established and is the so-called computer-supported cooperative work (CSCW).
S. Yau, Jinal S. Patel
semanticscholar +1 more source
International Workshop on Bots in Software Engineering, 2021
Question answering platforms, such as Stack Overflow, have impacted substantially how developers search for solutions for their programming problems.
Liliane do Nascimento Vale, M. Maia
semanticscholar +1 more source
Question answering platforms, such as Stack Overflow, have impacted substantially how developers search for solutions for their programming problems.
Liliane do Nascimento Vale, M. Maia
semanticscholar +1 more source
Low Code for Smart Software Development
IEEE Software, 2023The more we know about patterns in code, the better we can support those patterns. In this article, Jordi Cabot and Robert Claris ´o discuss the promise and perils of AI enhanced low-code environments that allow programmers and non=programmers alike to ...
Jordi Cabot, R. Clarisó, T. Menzies
semanticscholar +1 more source
IEEE Working Conference on Mining Software Repositories, 2020
In the last few years, artificial intelligence (AI) and machine learning (ML) have become ubiquitous terms. These powerful techniques have escaped obscurity in academic communities with the recent onslaught of AI & ML tools, frameworks, and libraries ...
Danielle Gonzalez +2 more
semanticscholar +1 more source
In the last few years, artificial intelligence (AI) and machine learning (ML) have become ubiquitous terms. These powerful techniques have escaped obscurity in academic communities with the recent onslaught of AI & ML tools, frameworks, and libraries ...
Danielle Gonzalez +2 more
semanticscholar +1 more source
The Effects of Required Security on Software Development Effort
2020 IEEE/ACM 42nd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), 2020Problem: developers are increasingly adopting security practices in software projects in response to cyber threats. Despite the additional effort required to perform those practices, current cost models either do not consider security as an input or were
Elaine Venson
semanticscholar +1 more source
Like, dislike, or just do it? How developers approach software development tasks
Information and Software Technology, 2022Context: Software developers work on various tasks and activities that contribute towards creating and maintaining software applications, frameworks, or other software components.
Zainab Masood +3 more
semanticscholar +1 more source
OntoSuSD: Software engineering approaches integration ontology for sustainable software development
Software, Practice & Experience, 2022Different software development approaches (SDAs) are developed with broad portfolios of development processes. Each of the approaches has certain exclusive principles, practices, thinking, and values, which are informally represented, implemented, and ...
Islam Zada +3 more
semanticscholar +1 more source
ACM Transactions on Software Engineering and Methodology
The advent of Large Language Models (LLMs) has introduced a new paradigm in Software Engineering (SE), with generative AI tools like ChatGPT gaining widespread adoption among developers. While ChatGPT’s potential has been extensively discussed, empirical
Ruiyin Li +5 more
semanticscholar +1 more source
The advent of Large Language Models (LLMs) has introduced a new paradigm in Software Engineering (SE), with generative AI tools like ChatGPT gaining widespread adoption among developers. While ChatGPT’s potential has been extensively discussed, empirical
Ruiyin Li +5 more
semanticscholar +1 more source

