Paper Info
Title
Dynamic decision-making based on NFR for managing software variability and configuration selection
Abstract
Due to dynamic variability, identifying the specific conditions under which non-functional requirements (NFRs) are satisfied may be only possible at runtime. Therefore, it is necessary to consider the dynamic treatment of relevant information during the requirements specifications. The associated data can be gathered by monitoring the execution of the application and its underlying environment to support reasoning about how the current application configuration is fulfilling the established requirements. This paper presents a dynamic decision-making infrastructure to support both NFRs representation and monitoring, and to reason about the degree of satisfaction of NFRs during runtime. The infrastructure is composed of: (i) an extended feature model aligned with a domain-specific language for representing NFRs to be monitored at runtime; (ii) a monitoring infrastructure to continuously assess NFRs at runtime; and (iii) a flexible decision-making process to select the best available configuration based on the satisfaction degree of the NRFs. The evaluation of the approach has shown that it is able to choose application configurations that well fit user NFRs based on runtime information. The evaluation also revealed that the proposed infrastructure provided consistent indicators regarding the best application configurations that fit user NFRs. Finally, a benefit of our approach is that it allows us to quantify the level of satisfaction with respect to NFRs specification.
Year
DOI
Venue
2015
10.1145/2695664.2695875
SAC 2015: Symposium on Applied Computing Salamanca Spain April, 2015
Keywords
Field
DocType
SPLs, Variability, Non-functional requirements, Monitoring
Software engineering,Computer science,Dynamic decision-making,Feature model,Database,Non-functional requirement,Software variability
Conference
ISBN
Citations 
PageRank 
978-1-4503-3196-8
3
0.38
References 
Authors
12
5
Name
Order
Citations
PageRank
André Almeida1143.11
Nelly Bencomo2195097.71
Thaís Vasconcelos Batista315721.34
Everton Cavalcante414124.32
Francisco Dantas51689.56