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Quantum Software Development Lifecycle

Quantum Software Engineering, 2021
With 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, 2020
The 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

Towards a question answering assistant for software development using a transformer-based language model

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

Low Code for Smart Software Development

IEEE Software, 2023
The 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

The State of the ML-universe: 10 Years of Artificial Intelligence & Machine Learning Software Development on GitHub

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

Intelligent software engineering in the context of agile software development: A systematic literature review

Information and Software Technology, 2020
CONTEXT: Intelligent Software Engineering (ISE) refers to the application of intelligent techniques to software engineering. We define an “intelligent technique” as a technique that explores data (from digital artifacts or domain experts) for knowledge ...
M. Perkusich   +11 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), 2020
Problem: 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, 2022
Context: 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, 2022
Different 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

Software Development Framework for Cardiac Disease Prediction Using Machine Learning Applications

2022 IEEE International Conference on Current Development in Engineering and Technology (CCET), 2022
The most difficult task in medicine is making a diagnosis of heart illness. Since the decision is dependent on a huge number of clinical and pathological information, the diagnosis of heart illness is challenging.
Kishore Kanna R   +7 more
semanticscholar   +1 more source

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