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Perceived diversity in software engineering: a systematic literature review. [PDF]
Empir Softw Eng, 2021 We define perceived diversity as the diversity factors that individuals are born with. Perceived diversity in Software Engineering has been recognized as a high-value team property and companies are willing to increase their efforts to create more ...
Rodríguez-Pérez G +2 more
europepmc +2 more sources
Sustainability in Software Engineering [PDF]
2017 Sustainable Internet and ICT for Sustainability (SustainIT), 2018 The intersection between software engineering re- search and the problems related to sustainability and green IT has been the subject of increasing attention.
berntsen +3 more
core +4 more sources
Improving bioinformatics software quality through incorporation of software engineering practices [PDF]
PeerJ Computer Science, 2022 Background Bioinformatics software is developed for collecting, analyzing, integrating, and interpreting life science datasets that are often enormous.
Adeeb Noor
doaj +3 more sources
Explainable AI for Software Engineering [PDF]
arXiv, 2020 Artificial Intelligence/Machine Learning techniques have been widely used in software engineering to improve developer productivity, the quality of software systems, and decision-making. However, such AI/ML models for software engineering are still impractical, not explainable, and not actionable.
C. Tantithamthavorn +2 more
arxiv +3 more sources
Open Science in Software Engineering [PDF]
Contemporary Empirical Methods in Software Engineering, 2019 Open science describes the movement of making any research artefact available to the public and includes, but is not limited to, open access, open data, and open source.
A Rowhani-Farid +20 more
core +2 more sources
Bioinformatics Software Engineering
Journal of Statistical Software, 2005 s not available for ...
Robert Gentleman
doaj +4 more sources
Large Language Models for Software Engineering: A Systematic Literature Review [PDF]
ACM Transactions on Software Engineering and Methodology, 2023 Large Language Models (LLMs) have significantly impacted numerous domains, including Software Engineering (SE). Many recent publications have explored LLMs applied to various SE tasks.
Xinying Hou +9 more
semanticscholar +1 more source
Large Language Models for Software Engineering: Survey and Open Problems [PDF]
2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering (ICSE-FoSE), 2023 This paper provides a survey of the emerging area of Large Language Models (LLMs) for Software Engineering (SE). It also sets out open research challenges for the application of LLMs to technical problems faced by software engineers.
Angela Fan +6 more
semanticscholar +1 more source
Towards an Understanding of Large Language Models in Software Engineering Tasks [PDF]
Empirical Software Engineering, 2023 Large Language Models (LLMs) have drawn widespread attention and research due to their astounding performance in text generation and reasoning tasks. Derivative products, like ChatGPT, have been extensively deployed and highly sought after.
Zibin Zheng +6 more
semanticscholar +1 more source
Software Engineering for AI-Based Systems: A Survey [PDF]
ACM Transactions on Software Engineering and Methodology, 2021 AI-based systems are software systems with functionalities enabled by at least one AI component (e.g., for image-, speech-recognition, and autonomous driving). AI-based systems are becoming pervasive in society due to advances in AI.
Silverio Mart'inez-Fern'andez +7 more
semanticscholar +1 more source