Proceedings of the First International Workshop on Feature-Oriented Software Development 2009
DOI: 10.1145/1629716.1629729
|View full text |Cite
|
Sign up to set email alerts
|

RobbyDBMS

Abstract: The development of a highly configurable data management system is a challenging task, especially if it is to be implemented on an embedded system that provides limited resources. We present a case study of such a data management system, called RobbyDBMS, and give it a feature-oriented design. In our case study, we evaluate the system's efficiency and variability. We pay particular attention to the interaction between the features of the data management system and the components of the underlying embedded plat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2011
2011
2021
2021

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 7 publications
(2 citation statements)
references
References 21 publications
0
2
0
Order By: Relevance
“…Reference to the experimental method of Literature [4], select different projects range from the small project (~10KLOC) to large projects (~1000KLOC) that using C/C++ language were selected. These projects are varying in different areas, including operating system and application software.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Reference to the experimental method of Literature [4], select different projects range from the small project (~10KLOC) to large projects (~1000KLOC) that using C/C++ language were selected. These projects are varying in different areas, including operating system and application software.…”
Section: Methodsmentioning
confidence: 99%
“…We refer the software variability metrics mainly form literature [4]. The metrics of variability contains several sub-metrics, including program size metrics (lines of feature constants, lines of feature code and classes contain variability), program crosscutting metrics (scattering degree, tangle degree and the average nesting depth), program variability granularity metrics (coarse-grained and fine-grained).…”
Section: Software Variability Modelmentioning
confidence: 99%