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Matheus Lima Chagas

dblp:249/9661 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-1263-8090ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Requirements engineering and software design · 56% Software maintenance and evolution · 44%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software maintenance and evolution › dynamic software updating
runtime adaptation
0.412019
Cautious Adaptation of Defiant Components · ASE 2019
Requirements engineering and software design
software architecture
0.412019
Cautious Adaptation of Defiant Components · ASE 2019
Requirements engineering and software design › software architecture
systems of systems
0.412019
Cautious Adaptation of Defiant Components · ASE 2019
Software maintenance and evolution › software evolution › software adaptation
component adaptation
0.112019
Cautious Adaptation of Defiant Components · ASE 2019
Software maintenance and evolution
software evolution
0.112019
Cautious Adaptation of Defiant Components · ASE 2019

Methods — techniques the papers use, named apart from their topics

scenario modeling · 0.4aspect-oriented programming · 0.4
YearPublicationVenuePosition
2019 Cautious Adaptation of Defiant Components
abstract
Systems-of-systems are formed by the composition of independently created software components. These components are designed to satisfy their individual requirements, rather than the global requirements of the systems-of-systems. We refer to components that cannot be adapted to meet both individual and global requirements as "defiant" components. In this paper, we propose a "cautious" adaptation approach which supports changing the behaviour of such defiant components under exceptional conditions to satisfy global requirements, while continuing to guarantee the satisfaction of the components' individual requirements. The approach represents both normal and exceptional conditions as scenarios; models the behaviour of exceptional conditions as wrappers implemented using an aspect-oriented technique; and deals with both single and multiple instances of defiant components with different precedence order at runtime. We evaluated an implementation of the approach using drones and boats for an organ delivery application conceived by our industrial partners, in which we assess how the proposed approach help achieve the system-of-systems' global requirements while accommodating increased complexity of hybrid aspects such as multiplicity, precedence ordering, openness and heterogeneity.
Paulo Henrique M. Maia, Matheus Lima Chagas, Yijun Yu 0001, Andrea Zisman, Bashar Nuseibeh
ASE3