Extracting Configuration Parameter Interactions using Static Analysis

TitleExtracting Configuration Parameter Interactions using Static Analysis
Publication TypeConference Paper
Year of Publication2016
AuthorsMetcalf, CA, Fowze, F, Yavuz, T, Fortes, J
Conference Name2016 IEEE 24th International Conference on Program Comprehension
Date Published05/2016
ISBN Number978-1-5090-1428-6
AbstractComplex software systems come with a huge number of configuration parameters for tuning their performance as well as functionality. It is a challenge for the users of such systems to understand how various parameters interact, and causing them to use the default configuration settings to avoid problems. Studies show that a lot of performance optimization opportunities are missed when complex software systems are run with the default configuration settings. This paper proposes a graph-based representation of configuration parameter interactions that are extracted using a scaleable static analysis approach. Experimental results obtained with a case study on a data analysis framework, Apache Hadoop, suggest that the proposed approach is effective in capturing some of the interactions at the component level.
URLhttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7503728
DOI10.1109/ICPC.2016.7503728