Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Suvodeep Majumder"'
Publikováno v:
ESEC/SIGSOFT FSE
Increasingly, software is making autonomous decisions in case of criminal sentencing, approving credit cards, hiring employees, and so on. Some of these decisions show bias and adversely affect certain social groups (e.g. those defined by sex, race,
Publikováno v:
ICSE
Many researchers assume that, for software analytics, "more data is better." We write to show that, at least for learning defect predictors, this may not be true. To demonstrate this, we analyzed hundreds of popular GitHub projects. These projects ra
Numerous methods can build predictive models from software data. However, what methods and conclusions should we endorse as we move from analytics in-the-small (dealing with a handful of projects) to analytics in-the-large (dealing with hundreds of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::290fc12928069aa00949e739d1266798
http://arxiv.org/abs/2008.09569
http://arxiv.org/abs/2008.09569
Despite decades of research, SE lacks widely accepted models (that offer precise quantitative stable predictions) about what factors most influence software quality. This paper provides a promising result showing such stable models can be generated u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3a17f1423e7789a6d708c0b29ab12b9
Publikováno v:
MSR
Deep learning methods are useful for high-dimensional data and are becoming widely used in many areas of software engineering. Deep learners utilizes extensive computational power and can take a long time to train-- making it difficult to widely vali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e593e047541686ecf5e84a712d426c00
http://arxiv.org/abs/1802.05319
http://arxiv.org/abs/1802.05319