User profiles for Bora Caglayan
Bora CaglayanHuawei European Research Institute Verified email at huawei.com Cited by 1423 |
Deepad: A generic framework based on deep learning for time series anomaly detection
This paper presents a generic anomaly detection approach for time-series data. Existing
anomaly detection approaches have several drawbacks such as a large number of false …
anomaly detection approaches have several drawbacks such as a large number of false …
Predicting bug-fixing time: A replication study using an open source software project
Background: On projects with tight schedules and limited budgets, it may not be possible to
resolve all known bugs before the next release. Estimates of the time required to fix known …
resolve all known bugs before the next release. Estimates of the time required to fix known …
Competition-based crowdsourcing software development: a multi-method study from a customer perspective
Crowdsourcing is emerging as an alternative outsourcing strategy which is gaining increasing
attention in the software engineering community. However, crowdsourcing software …
attention in the software engineering community. However, crowdsourcing software …
[HTML][HTML] Identifying the value of data analytics in the context of government supervision: Insights from the customs domain
…, J Migeotte, MLM Labare, K Plecko, B Caglayan… - Government Information …, 2021 - Elsevier
eCommerce, Brexit, new safety and security concerns are only a few examples of the challenges
that government organisations, in particular customs administrations, face today when …
that government organisations, in particular customs administrations, face today when …
Does biomarker use in oncology improve clinical trial failure risk? A large‐scale analysis
Purpose To date there has not been an extensive analysis of the outcomes of biomarker use
in oncology. Methods Data were pooled across four indications in oncology drawing upon …
in oncology. Methods Data were pooled across four indications in oncology drawing upon …
The relationship between evolutionary coupling and defects in large industrial software
Evolutionary coupling (EC) is defined as the implicit relationship between 2 or more software
artifacts that are frequently changed together. Changing software is widely reported to be …
artifacts that are frequently changed together. Changing software is widely reported to be …
Merits of organizational metrics in defect prediction: an industrial replication
Defect prediction models presented in the literature lack generalization unless the original
study can be replicated using new datasets and in different organizational settings. …
study can be replicated using new datasets and in different organizational settings. …
Defect prediction using social network analysis on issue repositories
S Biçer, AB Bener, B Çağlayan - Proceedings of the 2011 International …, 2011 - dl.acm.org
People are the most important pillar of software development process. It is critical to understand
how they interact with each other and how these interactions affect the quality of the end …
how they interact with each other and how these interactions affect the quality of the end …
Merits of using repository metrics in defect prediction for open source projects
Many corporate code developers are the beta testers of open source software.They continue
testing until they are sure that they have a stable version to build their code on. In this …
testing until they are sure that they have a stable version to build their code on. In this …
[PDF][PDF] Prest: An Intelligent Software Metrics Extraction, Analysis and Defect Prediction Tool.
Test managers use intelligent predictors to increase testing efficiency and to decide on when
to stop testing. However, those predictors would be impractical to use in an industry setting, …
to stop testing. However, those predictors would be impractical to use in an industry setting, …