Search Results

Documents authored by Bieniusa, Annette

Document
DOI: 10.4230/LIPIcs.ECOOP.2023.12
LoRe: A Programming Model for Verifiably Safe Local-First Software (Extended Abstract)

Authors: Julian Haas, Ragnar Mogk, Elena Yanakieva, Annette Bieniusa, and Mira Mezini

Published in: LIPIcs, Volume 263, 37th European Conference on Object-Oriented Programming (ECOOP 2023)

Abstract
Local-first software manages and processes private data locally while still enabling collaboration between multiple parties connected via partially unreliable networks. Such software typically involves interactions with users and the execution environment (the outside world). The unpredictability of such interactions paired with their decentralized nature make reasoning about the correctness of local-first software a challenging endeavor. Yet, existing solutions to develop local-first software do not provide support for automated safety guarantees and instead expect developers to reason about concurrent interactions in an environment with unreliable network conditions. We propose LoRe, a programming model and compiler that automatically verifies developer-supplied safety properties for local-first applications. LoRe combines the declarative data flow of reactive programming with static analysis and verification techniques to precisely determine concurrent interactions that violate safety invariants and to selectively employ strong consistency through coordination where required. We propose a formalized proof principle and demonstrate how to automate the process in a prototype implementation that outputs verified executable code. Our evaluation shows that LoRe simplifies the development of safe local-first software when compared to state-of-the-art approaches and that verification times are acceptable.
Cite as

Julian Haas, Ragnar Mogk, Elena Yanakieva, Annette Bieniusa, and Mira Mezini. LoRe: A Programming Model for Verifiably Safe Local-First Software (Extended Abstract). In 37th European Conference on Object-Oriented Programming (ECOOP 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 263, pp. 12:1-12:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

Copy BibTex To Clipboard

@InProceedings{haas_et_al:LIPIcs.ECOOP.2023.12,
  author =	{Haas, Julian and Mogk, Ragnar and Yanakieva, Elena and Bieniusa, Annette and Mezini, Mira},
  title =	{{LoRe: A Programming Model for Verifiably Safe Local-First Software (Extended Abstract)}},
  booktitle =	{37th European Conference on Object-Oriented Programming (ECOOP 2023)},
  pages =	{12:1--12:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-281-5},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{263},
  editor =	{Ali, Karim and Salvaneschi, Guido},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2023.12},
  URN =		{urn:nbn:de:0030-drops-182056},
  doi =		{10.4230/LIPIcs.ECOOP.2023.12},
  annote =	{Keywords: Local-First Software, Reactive Programming, Invariants, Consistency, Automated Verification}
}
Document
Artifact
DOI: 10.4230/DARTS.9.2.11
LoRe: A Programming Model for Verifiably Safe Local-First Software (Artifact)

Authors: Julian Haas, Ragnar Mogk, Elena Yanakieva, Annette Bieniusa, and Mira Mezini

Published in: DARTS, Volume 9, Issue 2, Special Issue of the 37th European Conference on Object-Oriented Programming (ECOOP 2023)

Abstract
Local-first software manages and processes private data locally while still enabling collaboration between multiple parties connected via partially unreliable networks. Such software typically involves interactions with users and the execution environment (the outside world). The unpredictability of such interactions paired with their decentralized nature make reasoning about the correctness of local-first software a challenging endeavor. Yet, existing solutions to develop local-first software do not provide support for automated safety guarantees and instead expect developers to reason about concurrent interactions in an environment with unreliable network conditions. We propose LoRe, a programming model and compiler that automatically verifies developer-supplied safety properties for local-first applications. LoRe combines the declarative data flow of reactive programming with static analysis and verification techniques to precisely determine concurrent interactions that violate safety invariants and to selectively employ strong consistency through coordination where required. We propose a formalized proof principle and demonstrate how to automate the process in a prototype implementation that outputs verified executable code. Our evaluation shows that LoRe simplifies the development of safe local-first software when compared to state-of-the-art approaches and that verification times are acceptable.
Cite as

Julian Haas, Ragnar Mogk, Elena Yanakieva, Annette Bieniusa, and Mira Mezini. LoRe: A Programming Model for Verifiably Safe Local-First Software (Artifact). In Special Issue of the 37th European Conference on Object-Oriented Programming (ECOOP 2023). Dagstuhl Artifacts Series (DARTS), Volume 9, Issue 2, pp. 11:1-11:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

Copy BibTex To Clipboard

@Article{haas_et_al:DARTS.9.2.11,
  author =	{Haas, Julian and Mogk, Ragnar and Yanakieva, Elena and Bieniusa, Annette and Mezini, Mira},
  title =	{{LoRe: A Programming Model for Verifiably Safe Local-First Software (Artifact)}},
  pages =	{11:1--11:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2023},
  volume =	{9},
  number =	{2},
  editor =	{Haas, Julian and Mogk, Ragnar and Yanakieva, Elena and Bieniusa, Annette and Mezini, Mira},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.9.2.11},
  URN =		{urn:nbn:de:0030-drops-182510},
  doi =		{10.4230/DARTS.9.2.11},
  annote =	{Keywords: Local-First Software, Reactive Programming, Invariants, Consistency, Automated Verification}
}
Document
DOI: 10.4230/DagRep.8.2.101
Data Consistency in Distributed Systems: Algorithms, Programs, and Databases (Dagstuhl Seminar 18091)

Authors: Annette Bieniusa, Alexey Gotsman, Bettina Kemme, and Marc Shapiro

Published in: Dagstuhl Reports, Volume 8, Issue 2 (2018)

Abstract
For decades distributed computing has been mainly an academic subject. Today, it has become mainstream: our connected world demands applications that are inherently distributed, and the usage of shared, distributed, peer-to-peer or cloud-computing infrastructures are increasingly common. However, writing distributed applications that are both correct and well distributed (e.g., highly available) is extremely challenging. In fact, there exists a fundamental trade-off between data consistency, availability, and the ability to tolerate failures. This trade-off has implications on the design of the entire distributed computing infrastructure, including storage systems, compilers and runtimes, application development frameworks and programming languages. Unfortunately, this also has significant implications on the programming model exposed to the designers and developers of applications. We need to enable programmers who are not experts in these subtle aspects to build distributed applications that remain correct in the presence of concurrency, failures, churn, replication, dynamically-changing and partial information, high load, absence of a single line of time, etc. This Dagstuhl Seminar proposes to bring together researchers and practitioners in the areas of distributed systems, programming languages, verifications, and databases. We would like to understand the lessons learnt in building scalable and correct distributed systems, the design patterns that have emerged, and explore opportunities for distilling these into programming methodologies, programming tools, and languages to make distributed computing easier and more accessible. Main issues in discussion: Application writers are constantly making trade-offs between consistency and availability. What kinds of tools and methodologies can we provide to simplify this decision making? How does one understand the implications of a design choice? Available systems are hard to design, test and debug. Do existing testing and debugging tools suffice for identifying and isolating bugs due to weak consistency? How can these problems be identified in production using live monitoring? Can we formalize commonly desired (generic) correctness (or performance) properties? How can we teach programmers about these formalisms and make them accessible to a wide audience? Can we build verification or testing tools to check that systems have these desired correctness properties? How do applications achieve the required properties, while ensuring adequate performance, in practice? What design patterns and idioms work well? To what degree can these properties be guaranteed by the platform (programming language, libraries, and runtime system)? What are the responsibilities of the application developer, and what tools and information does she have?
Cite as

Annette Bieniusa, Alexey Gotsman, Bettina Kemme, and Marc Shapiro. Data Consistency in Distributed Systems: Algorithms, Programs, and Databases (Dagstuhl Seminar 18091). In Dagstuhl Reports, Volume 8, Issue 2, pp. 101-121, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

Copy BibTex To Clipboard

@Article{bieniusa_et_al:DagRep.8.2.101,
  author =	{Bieniusa, Annette and Gotsman, Alexey and Kemme, Bettina and Shapiro, Marc},
  title =	{{Data Consistency in Distributed Systems: Algorithms, Programs, and Databases (Dagstuhl Seminar 18091)}},
  pages =	{101--121},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{8},
  number =	{2},
  editor =	{Bieniusa, Annette and Gotsman, Alexey and Kemme, Bettina and Shapiro, Marc},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.8.2.101},
  URN =		{urn:nbn:de:0030-drops-92923},
  doi =		{10.4230/DagRep.8.2.101},
  annote =	{Keywords: consistency, CRDTs, Distributed Algorithms, distributed computing, Distributed Systems, partitioning, replication, Strong Consistency, transactions, Weak Consistency}
}
Document
DOI: 10.4230/DagRep.7.11.1
New Challenges in Parallelism (Dagstuhl Seminar 17451)

Authors: Annette Bieniusa, Hans-J. Boehm, Maurice Herlihy, and Erez Petrank

Published in: Dagstuhl Reports, Volume 7, Issue 11 (2018)

Abstract
A continuing goal of current multiprocessor software design is to improve the performance and reliability of parallel algorithms. Parallel programming has traditionally been attacked from widely different angles by different groups of people: Hardware designers designing instruction sets, programming language designers designing languages and library interfaces, and theoreticians developing models of parallel computation. Unsurprisingly, this has not always led to consistent results. Newly developing areas show every sign of leading to similar divergence. This Dagstuhl Seminar will bring together researchers and practitioners from all three areas to discuss and reconcile thoughts on these challenges.
Cite as

Annette Bieniusa, Hans-J. Boehm, Maurice Herlihy, and Erez Petrank. New Challenges in Parallelism (Dagstuhl Seminar 17451). In Dagstuhl Reports, Volume 7, Issue 11, pp. 1-27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

Copy BibTex To Clipboard

@Article{bieniusa_et_al:DagRep.7.11.1,
  author =	{Bieniusa, Annette and Boehm, Hans-J. and Herlihy, Maurice and Petrank, Erez},
  title =	{{New Challenges in Parallelism (Dagstuhl Seminar 17451)}},
  pages =	{1--27},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{11},
  editor =	{Bieniusa, Annette and Boehm, Hans-J. and Herlihy, Maurice and Petrank, Erez},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.11.1},
  URN =		{urn:nbn:de:0030-drops-86681},
  doi =		{10.4230/DagRep.7.11.1},
  annote =	{Keywords: concurrency, memory models, non-volatile memory}
}
Any Issues?
X

Feedback on the Current Page

CAPTCHA

Thanks for your feedback!

Feedback submitted to Dagstuhl Publishing

Could not send message

Please try again later or send an E-mail
© 2023-2026 Schloss Dagstuhl – LZI GmbH Schloss Dagstuhl – LZI GmbH About DROPS Imprint Privacy Contact