Vladislav Tankov

dblp:256/6243 · DBLP profile ↗
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3ranked-venue papers
2as first author
2since 2021 · last 2021
0000-0002-8331-3859ORCID · corroborated

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

Software engineering, systems software and programming languages · 3 · 2 first-author · 2 since 2021
YearPublicationVenuePosition
2021 Sorrel: an IDE Plugin for Managing Licenses and Detecting License Incompatibilities
abstract
Software development is a complex process that includes many different tasks besides just writing code. One of the aspects of software engineering is selecting and managing licenses for the given project. In this paper, we present SORREL-a plugin for managing licenses and detecting potential incompatibilities for IntelliJ IDEA, a popular Java IDE. The plugin scans the project in search of information about the project license and the licenses of its libraries. If the project does not yet have a license, the plugin provides the developer with recommendations for choosing the most suitable open license, and if there is a license, it informs the programmer about potential licensing violations. The tool makes it easier for developers to choose a proper license for a project and avoid most of the licensing errors-all inside the familiar IDE editor. The plugin and its source code are available online on GitHub: https://github.com/JetBrains-Research/sorrel. A demonstration video can be found at https://youtu.be/doUeAwPjcPE.
Dmitry Pogrebnoy, Yaroslav Golubev, Vladislav Tankov, Timofey Bryksin
ICSME4
2021 Infrastructure in Code: Towards Developer-Friendly Cloud Applications
abstract
The popularity of cloud technologies has led to the development of a new type of applications that specifically target cloud environments. Such applications require a lot of cloud infrastructure to run, which brought about the Infrastructure as Code approach, where the infrastructure is also coded using a separate language in parallel to the main application. In this paper, we propose a new concept of Infrastructure in Code, where the infrastructure is deduced from the application code itself, without the need for separate specifications. We describe this concept, discuss existing solutions that can be classified as Infrastructure in Code and their limitations, and then present our own framework called Kotless — an extendable cloud-agnostic serverless framework for Kotlin that supports two cloud providers, three DSLs, and two runtimes. Finally, we showcase the usefulness of Kotless by demonstrating its efficiency in migrating an existing application to a serverless environment.
Vladislav Tankov, Dmitriy Valchuk, Yaroslav Golubev, Timofey Bryksin
ASE1
2019 Kotless: A Serverless Framework for Kotlin
abstract
Recent trends in Web development demonstrate an increased interest in serverless applications, i.e. applications that utilize computational resources provided by cloud services on demand instead of requiring traditional server management. This approach enables better resource management while being scalable, reliable, and cost-effective. However, it comes with a number of organizational and technical difficulties which stem from the interaction between the application and the cloud infrastructure, for example, having to set up a recurring task of reuploading updated files. In this paper, we present Kotless - a Kotlin Serverless Framework. Kotless is a cloud-agnostic toolkit that solves these problems by interweaving the deployed application into the cloud infrastructure and automatically generating the necessary deployment code. This relieves developers from having to spend their time integrating and managing their applications instead of developing them. Kotless has proven its capabilities and has been used to develop several serverless applications already in production. Its source code is available at https://github.com/JetBrains/kotless, a tool demo can be found at https://www.youtube.com/watch?v=IMSakPNl3TY.
Vladislav Tankov, Yaroslav Golubev, Timofey Bryksin
ASE1