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 …
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 …
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 …
[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 …
[HTML][HTML] 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 …
Automated optimisation of modern software system properties
F Sarro - Proceedings of the 2023 ACM/SPEC International …, 2023 - dl.acm.org
Realizing modern software systems poses new challenges to the software engineers: Users
of applications running on limited capability devices still demand acceptable performance [2 …
of applications running on limited capability devices still demand acceptable performance [2 …
Deep Configuration Performance Learning: A Systematic Survey and Taxonomy
Performance is arguably the most crucial attribute that reflects the behavior 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 …
[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 …
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 …
Multi-Objective Improvement of Android Applications
Non-functional properties, such as runtime or memory use, are important to mobile app
users and developers, as they affect user experience. Previous work on automated …
users and developers, as they affect user experience. Previous work on automated …