Results 11 to 20 of about 319,608 (98)
Multilingual training for Software Engineering [PDF]
International Conference on Software Engineering, 2021 Well-trained machine-learning models, which leverage large amounts of open-source software data, have now become an interesting approach to automating many software engineering tasks.
Toufique Ahmed, Prem Devanbu
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SEGRESS: Software Engineering Guidelines for REporting Secondary Studies
IEEE Transactions on Software Engineering, 2023 Context: Several tertiary studies have criticized the reporting of software engineering secondary studies. Objective: Our objective is to identify guidelines for reporting software engineering (SE) secondary studies which would address problems observed ...
B. Kitchenham, L. Madeyski, D. Budgen
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Adoption and Effects of Software Engineering Best Practices in Machine Learning [PDF]
International Symposium on Empirical Software Engineering and Measurement, 2020 Background. The increasing reliance on applications with machine learning (ML) components calls for mature engineering techniques that ensure these are built in a robust and future-proof manner. Aim.
A. Serban +3 more
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Causal reasoning and symbolic relationships in Medieval Illuminations [PDF]
Journal of Data Mining and Digital Humanities, 2019 This work applies knowledge engineering’s techniques to medieval illuminations. Inside it, an illumination is considered as a knowledge graph which was used by some elites in the Middle Ages to represent themselves as a social group and exhibit the ...
Djibril Diarra +2 more
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Making the Most of Small Software Engineering Datasets With Modern Machine Learning [PDF]
IEEE Transactions on Software Engineering, 2021 This paper provides a starting point for Software Engineering (SE) researchers and practitioners faced with the problem of training machine learning models on small datasets.
Julian Aron Prenner, R. Robbes
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Construct Validity in Software Engineering
IEEE Transactions on Software Engineering, 2021 Empirical research aims to establish generalizable claims from data. Such claims may involve concepts that must be measured indirectly by using indicators.
Dag I.K. Sjøberg, Gunnar R. Bergersen
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Unveiling Memorization in Code Models [PDF]
, 2023 The availability of large-scale datasets, advanced architectures, and powerful computational resources have led to effective code models that automate diverse software engineering activities. The datasets usually consist of billions of lines of code from
Han, DongGyun +6 more
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Rapid Reviews in Software Engineering [PDF]
Contemporary Empirical Methods in Software Engineering, 2020 Integrating research evidence into practice is one of the main goals of evidence-based software engineering (EBSE). Secondary studies, one of the main EBSE products, are intended to summarize the “best” research evidence and make them easily consumable ...
Bruno Cartaxo, G. Pinto, S. Soares
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Software Engineering for Quantum Programming: How Far Are We? [PDF]
Journal of Systems and Software, 2022 Quantum computing is no longer only a scientific interest but is rapidly becoming an industrially available technology that can potentially overcome the limits of classical computation. Over the last years, all major companies have provided frameworks and
Manuel De Stefano +4 more
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Towards a Roadmap on Software Engineering for Responsible AI [PDF]
2022 IEEE/ACM 1st International Conference on AI Engineering – Software Engineering for AI (CAIN), 2022 Although AI is transforming the world, there are serious concerns about its ability to behave and make decisions responsibly. Many ethical regulations, principles, and frameworks for responsible AI have been issued recently.
Q. Lu +4 more
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