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Alan Darmasaputra

dblp:349/4803 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved

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

Software engineering, systems software and programming languages · 1 · 1 since 2021

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
Programming languages and type systems · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Programming languages and type systems › type systems › behavioral type systems
behavioral type
0.712023
Behaviorally Typed State Machines in TypeScript for Heterogeneous Swarms · ISSTA 2023
Programming languages and type systems
type systems
0.712023
Behaviorally Typed State Machines in TypeScript for Heterogeneous Swarms · ISSTA 2023
Distributed systems
fault tolerance
0.212023
Behaviorally Typed State Machines in TypeScript for Heterogeneous Swarms · ISSTA 2023

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

state machine modeling · 1.3behavioral typing · 1.3
YearPublicationVenuePosition
2023 Behaviorally Typed State Machines in TypeScript for Heterogeneous Swarms
abstract
A heterogeneous swarm system is a distributed system where participants come and go, communication topology may change at any time, data replication is asynchronous and partial, and local agents behave differently between nodes. These systems are hard to design and reason about, mainly because we desire a particular class of behaviors to emerge from the interplay of heterogeneous individual agents. Nevertheless, mission-critical operations like manufacturing process orchestration in factories use such systems due to their uncompromising availability and resilience of computing services.
Roland Kuhn 0002, Alan Darmasaputra
ISSTA2