L
Lars Lundberg
Researcher at Blekinge Institute of Technology
Publications - 136
Citations - 1008
Lars Lundberg is an academic researcher from Blekinge Institute of Technology. The author has contributed to research in topics: Scheduling (computing) & Software development. The author has an hindex of 14, co-authored 136 publications receiving 913 citations.
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Journal ArticleDOI
Performance Evaluation of SQL and NoSQL Database Management Systems in a Cluster
TL;DR: Cassandra, CouchDB, MongoDB, PostgreSQL, and RethinkDB are evaluated as database management systems for NoSQL and SQL users.
Proceedings ArticleDOI
Identification of test process improvements by combining fault trigger classification and faults-slip-through measurement
Lars-Ola Damm,Lars Lundberg +1 more
TL;DR: This paper proposes how a combination of two existing techniques for fault analysis can be used to identify where in the test process improvements are needed, i.e. to pinpoint which activities in which phases that should be improved.
Proceedings Article
Performance Comparison of KVM, VMware and XenServer using a Large Telecommunication Application
TL;DR: This paper presents the results from a performance comparison of three well-known virtualization hypervisors: KVM, VMware and XenServer, and shows that the Xen hypervisor results in higher CPU utilization and thus also lower maximum performance compared to VMware and KVM.
Proceedings ArticleDOI
An Insight into the Capabilities of Professionals and Teams in Agile Software Development: A Systematic Literature Review
TL;DR: A systematic literature review focused on identifying attributes used for measuring and predicting the capabilities of individual software engineers and teams and also attributes that can be used as capability predictors indicated the necessity for an investigation into capability prediction models.
Journal ArticleDOI
The increase of productivity over time : an industrial case study
Piotr Tomaszewski,Lars Lundberg +1 more
TL;DR: A study to assess the impact of experience and maturity on productivity in software development on the specialized platform and suggests a number of improvement suggestions and guidelines for the process of introducing a new technology.