Inadequacies of large language model benchmarks in the era of generative artificial intelligence
The rapid rise in popularity of Large Language Models (LLMs) with emerging capabilities
has spurred public curiosity to evaluate and compare different LLMs, leading many …
has spurred public curiosity to evaluate and compare different LLMs, leading many …
Deep configuration performance learning: A systematic survey and taxonomy
Performance is arguably the most crucial attribute that reflects the quality of a configurable
software system. However, given the increasing scale and complexity of modern software …
software system. However, given the increasing scale and complexity of modern software …
A survey on machine learning techniques for source code analysis
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
[HTML][HTML] Fairness for machine learning software in education: A systematic mapping study
The integration of machine learning (ML) systems into various sectors, notably education,
has great potential to transform business workflows and decision-making processes …
has great potential to transform business workflows and decision-making processes …
On the use of evaluation measures for defect prediction studies
Software defect prediction research has adopted various evaluation measures to assess the
performance of prediction models. In this paper, we further stress on the importance of the …
performance of prediction models. In this paper, we further stress on the importance of the …
[HTML][HTML] A survey on machine learning techniques applied to source code
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
Do performance aspirations matter for guiding software configuration tuning? an empirical investigation under dual performance objectives
Configurable software systems can be tuned for better performance. Leveraging on some
Pareto optimizers, recent work has shifted from tuning for a single, time-related performance …
Pareto optimizers, recent work has shifted from tuning for a single, time-related performance …
How do Android developers improve non-functional properties of software?
Nowadays there is an increased pressure on mobile app developers to take non-functional
properties into account. An app that is too slow or uses much bandwidth will decrease user …
properties into account. An app that is too slow or uses much bandwidth will decrease user …
An empirical study on the fairness of pre-trained word embeddings
Pre-trained word embedding models are easily distributed and applied, as they alleviate
users from the effort to train models themselves. With widely distributed models, it is …
users from the effort to train models themselves. With widely distributed models, it is …
[PDF][PDF] Search-based software engineering in the era of modern software systems
F Sarro - Proceedings of the IEEE International Conference on …, 2023 - discovery.ucl.ac.uk
Search-Based Software Engineering in the Era of Modern Software Systems Page 1 Search-Based
Software Engineering in the Era of Modern Software Systems Federica Sarro Department of …
Software Engineering in the Era of Modern Software Systems Federica Sarro Department of …