activity
20062022
most citedLinear Encodings of Bounded LTL Model Checking

226 citations · 398 across the 10 of their papers we have counts for

collaborators

11 papers

cs.LO2022★ 1 cited

Stratified Certification for k-Induction

Emily Yu, Nils Froleyks, Armin Biere +1

Our recently proposed certification framework for bit-level k-induction-based model checking has been shown to be quite effective in increasing the trust of verification results ev…

cs.DC2020★ 74 cited

CEFIoT: A Fault-Tolerant IoT Architecture for Edge and Cloud

Asad Javed, Keijo Heljanko, Andrea Buda +1

Internet of Things (IoT), the emerging computing infrastructure that refers to the networked interconnection of physical objects, incorporates a plethora of digital systems that ar…

cs.LG2019

Exploiting Event Log Event Attributes in RNN Based Prediction

Markku Hinkka, Teemu Lehto, Keijo Heljanko

In predictive process analytics, current and historical process data in event logs is used to predict the future, e.g., to predict the next activity or how long a process will stil…

cs.LG2018★ 36 cited

Classifying Process Instances Using Recurrent Neural Networks

Markku Hinkka, Teemu Lehto, Keijo Heljanko +1

Process Mining consists of techniques where logs created by operative systems are transformed into process models. In process mining tools it is often desired to be able to classif…

cs.LG2017★ 10 cited

Structural Feature Selection for Event Logs

Markku Hinkka, Teemu Lehto, Keijo Heljanko +1

We consider the problem of classifying business process instances based on structural features derived from event logs. The main motivation is to provide machine learning based tec…

cs.PL2017★ 3 cited

Portability Analysis for Axiomatic Memory Models. PORTHOS: One Tool for all Models

Hernán Ponce-de-León, Florian Furbach, Keijo Heljanko +1

We present Porthos, the first tool that discovers porting bugs in performance-critical code. Porthos takes as input a program and the memory models of the source architecture for w…

cs.LO2015★ 9 cited

Unfolding-Based Process Discovery

Hernán Ponce-de-León, César Rodríguez, Josep Carmona +2

This paper presents a novel technique for process discovery. In contrast to the current trend, which only considers an event log for discovering a process model, we assume two addi…

cs.DC2013★ 21 cited

Synchronous Counting and Computational Algorithm Design

Danny Dolev, Keijo Heljanko, Matti Järvisalo +5

Consider a complete communication network on nodes, each of which is a state machine. In synchronous 2-counting, the nodes receive a common clock pulse and they have to agree o…

cs.DC2011★ 2 cited

Proceedings 10th International Workshop on Parallel and Distributed Methods in verifiCation

Jiří Barnat, Keijo Heljanko

This volume contains the proceedings of the 10th International Workshop on Parallel and Distributed Methods in verifiCation (PDMC 2011) that took place in Snowbird, Utah, on July 1…

cs.LO2009★ 16 cited

Tarmo: A Framework for Parallelized Bounded Model Checking

Siert Wieringa, Matti Niemenmaa, Keijo Heljanko

This paper investigates approaches to parallelizing Bounded Model Checking (BMC) for shared memory environments as well as for clusters of workstations. We present a generic framew…

cs.LO2006★ 226 cited

Linear Encodings of Bounded LTL Model Checking

Armin Biere, Keijo Heljanko, Tommi Junttila +2

We consider the problem of bounded model checking (BMC) for linear temporal logic (LTL). We present several efficient encodings that have size linear in the bound. Furthermore, we…