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Cited by 14Advanced Software Engineering MethodologiesSoftware Engineering ResearchEvolutionary Algorithms and Applications

The DOI matches its Crossref record.

DIVERSIFY: Ecology-inspired software evolution for diversity emergence

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Baudry, Benoit, Monperrus, Martin, Mony, Cendrine, Chauvel, Franck, Fleurey, Franck, Clarke, Siobhan·2014·2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)
DOI 10.1109/csmr-wcre.2014.6747203
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Abstract

DIVERSIFY is an EU funded project, which aims at favoring spontaneous diversification in software systems in order to increase their adaptive capacities. This objective is founded on three observations: software has to constantly evolve to face unpredictable changes in its requirements, execution environment or to respond to failure (bugs, attacks, etc.): the emergence and maintenance of high levels of diversity are essential to provide adaptive capacities to many forms of complex systems, ranging from ecological and biological systems to social and economical systems; diversity levels tend to be very low in software systems. DIVERSIFY explores how the biological evolutionary mechanisms, which sustain high levels of biodiversity in ecosystems (speciation, phenotypic plasticity and natural selection) can be translated in software evolution principles. In this work, we consider evolution as a driver for diversity as a means to increase resilience in software systems. In particular, we are inspired by bipartite ecological relationships to investigate the automatic diversification of the server side of a client-server architecture. This type of software diversity aims at mitigating the risks of software monoculture. The consortium gathers researchers from the software-intensive, distributed systems and the ecology areas in order to transfer ecological concepts and processes as software design principles.

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  • Unpredictable evolution and changes of software requirements complicate architecture design.

    “Unpredictable evolution and changes of software requirements complicate architecture design ( group , calendar ).”

    From Software Architecture in Practice: Challenges and Opportunities (2023) · cites this paper as [8]

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Cited by

Sorted by citations

  • Software Architecture in Practice: Challenges and Opportunities

    Wan, Z., Zhang, Y., Xia, X., Jiang, Y., & Lo, D. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering · doi:10.1145/3611643.3616367 · Cited by 30

    “The unpredictable evolution and changes of requirements sometimes make it infeasible to deliver new features or meet the quality requirements with current architectures, as frequently mentioned in the literature [3, 8, 22, 24, 60, 90, 92].”
    Background

Metadata

Authors
Baudry, B., Monperrus, M., Mony, C., Chauvel, F., Fleurey, F., & Clarke, S.
Affiliations
  • Institut national de recherche en sciences et technologies du numérique (FR)
  • Université Rennes 1 (FR)
  • SINTEF (NO)
ORCID
Venue
2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE)
Publisher
IEEE
Published
2014-02
Pages
395-398
DOI
10.1109/csmr-wcre.2014.6747203
OpenAlex
W2055233297
Cited by
14
References
0
Citations by year
2026: 1 · 2023: 1 · 2022: 1 · 2019: 3 · 2018: 2 · 2017: 2 · 2016: 1 · 2015: 2 · 2014: 1
FWCI
1.18
Type
conference paper
Language
en
Open access
Licence
other-oa
Locations
  • IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) (publishedVersion)
  • HAL (submittedVersion, other-oa)
  • LillOA (Université de Lille (University Of Lille)) (submittedVersion, other-oa)
Topics
  • Physical Sciences › Computer Science › Software › Advanced Software Engineering Methodologies
  • Physical Sciences › Computer Science › Information Systems › Software Engineering Research
  • Physical Sciences › Computer Science › Artificial Intelligence › Evolutionary Algorithms and Applications
Keywords
software diversity, software evolution, software resilience, client-server architecture, speciation, phenotypic plasticity, natural selection, adaptive software, distributed systems

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