Dynamic decision-making based on NFR for managing software variability and configuration selection


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 exible 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.

Publication DOI: https://doi.org/10.1145/2695664.2695875
Divisions: ?? 50811700Jl ??
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: Definitive Version of Record in the ACM Digital Library.
Event Title: 30th annual ACM Symposium on Applied Computing
Event Type: Other
Event Dates: 2015-04-13 - 2015-04-17
Uncontrolled Keywords: monitoring,non-functional requirements,SPLs,variability,Software
ISBN: 978-1-4503-3196-8
Last Modified: 10 Jun 2024 07:49
Date Deposited: 16 Feb 2016 14:15
Full Text Link: http://dl.acm.o ... 2695664.2695875
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2015-04-13
Authors: Almeida, André
Bencomo, Nelly (ORCID Profile 0000-0001-6895-1636)
Batista, Thais
Cavalcante, Everton
Dantas, Francisco



Version: Accepted Version

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