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Presentation

High-Assurance Software

t HASLab, we are focused on the design and implementation of high-assurance software systems: software that is correct by design and resilient to environment faults and malicious attacks. We accomplish our mission within the Computer Science Cluster, anchoring our research on a rigorous approach to three areas of Computer Science: Software Engineering, Distributed Systems, and Cryptography and Information Security.

Our contributions to these areas range from fundamental research on formal methods and algorithms, to applied research on the development of tools and middleware that address real-world demands stemming from long-term collaborations with industry.

Software Engineering – we research methods, techniques and tools for rigorous software development, that can be applied to the internal functionality of a component, its composition with other components, as well as the interaction with the user.

Distributed Systems – we are focused on improving the reliability and scalability of software, by exploring properties inherent to the distribution and replication of computer systems.

Cryptography and Information Security – we aim to minimize the vulnerability of software components to hostile attacks, by deploying structures and cryptographic protocols whose security properties are formally proven.

Through a multidisciplinary approach that is based on solid theoretical foundations, we aim to provide solutions — theory, methods, languages, tools — for the development of complete ICT systems that provide strong guarantees to their owners and users. Prominent application areas of HASLab research include the development of safety and security critical software systems, the operation of secure cloud infrastructures, and the privacy-preserving management and processing of big data.

Latest News
Computer Science

INESC TEC researchers awarded “Best Paper Award” in the field of Computing

The paper “ASPAS: As Secure as Possible Available Systems”, co-authored by Houssam Yactine, Ali Shoker, and George Younes, researchers at INESC TEC’s High-Assurance Software Laboratory (HASLab), received the Best Paper Award at the 16th edition of the International Federated Conference on Distributed Computing Techniques (DisCoTec2021).

15th July 2021

Computer Science

INESC TEC participates in a project for the development of a secure password manager

The project PassCert – Exploring the Impact of Formal Verification on the Adoption of Password Security Software, started in February and will allow the creation of a password manager that ensures security properties on data storage and generation of passwords, using formal verification.

31st May 2021

Computer Science

INESC TEC helps brands to improve their influence on social media through AI

Measuring, monitoring and improving the presence, social position and influence of companies and individuals on social networks.

26th May 2021

Computer Science

INESC TEC co-organised workshop on Artificial Intelligence applied to software testing

INESC TEC co-organised the workshop AIST 2021 – International Workshop on Artificial Intelligence in Software Testing, within the scope of the IEEE International Conference on Software Testing (ICST2021), dedicated to AI in software testing. The event took place online, on April 12, with more than 20 participants.

07th May 2021

Computer Science

INESC TEC wins IN3 + Award

The project IDINA - Inclusive Non-Authoritative Digital Identity, INESC TEC’s High Assurance Software Laboratory (HASLab) is the winner of the IN3 + Award, promoted by the Portuguese Mint and Official Printing Office (INCM), of €600K. The project aims to create an effective and inclusive identification platform open to all citizens, in countries that do not have central identification systems (civil registration infrastructures).

30th March 2021

Interest Topics
035

Featured Projects

CircThread

Building the Digital Thread for Circular Economy Product, Resource & Service Management

2021-2025

PassCert

PassCert: Exploring the Impact of Formal Verification on the Adoption of Password Security Software

2021-2022

IoT4Distribuicao

Análise de Requisitos e Especificação Funcional de uma Arquitetura Distribuída baseada em soluções IoT para a Gestão e Controlo da Rede de Distribuição

2021-2021

RISC2

A network for supporting the coordination of High-Performance Computing research between Europe and Latin America

2021-2023

IDigitalEIDPT

Estudo Identidade Digital

2020-2021

PAStor

Programmable and Adaptable Storage for AI-oriented HPC Ecosystems

2020-2021

PFAI4.0

Programa de Formação Avançada Industria 4.0

2020-2021

Collaboration

Collaborative Visual Development

2020-2021

AIDA

Adaptive, Intelligent and Distributed Assurance Platform

2020-2022

BigHPC

BigHPC - A Management Framework for Consolidated Big Data and HPC

2020-2023

SLSNA

Prestação de Serviços no ambito do projeto SKORR

2020-2021

AppOwl

Deteção de Mutações Maliciosas no Browser

2020-2021

InterConnect

Interoperable Solutions Connecting Smart Homes, Buildings and Grids

2019-2023

T4CDTKC

Training 4 Cotec, Digital Transformation Knowledge Challenge - Elaboração de Programa de Formação “CONHECER E COMPREENDER O DESAFIO DAS TECNOLOGIAS DE TRANSFORMAÇÃO DIGITAL”

2019-2021

CLOUD4CANDY

Cloud for CANDY

2019-2019

HADES

HArdware-backed trusted and scalable DEcentralized Systems

2018-2022

MaLPIS

Aprendizagem Automática para Deteção de Ataques e Identificação de Perfis Segurança na Internet

2018-2022

SKORR

Advancing the Frontier of Social Media Management Tools

2018-2021

DaVinci

Distributed architectures: variability and interaction for cyber-physical systems

2018-2022

SAFER

Safery verification for robotic software

2018-2021

KLEE

Coalgebraic modeling and analysis for computational synthetic biology

2018-2021

InteGrid

Demonstration of INTElligent grid technologies for renewables INTEgration and INTEractive consumer participation enabling INTEroperable market solutions and INTErconnected stakeholders

2017-2020

Lightkone

Lightweight Computation for Networks at the Edge

2017-2019

CloudDBAppliance

European Cloud In-Memory Database Appliance with Predictable Performance for Critical Applications

2016-2019

GSL

GreenSoftwareLab: Towards an Engineering Discipline for Green Software

2016-2019

Cloud-Setup

PLATAFORMA DE PREPARAÇÃO DE CONTEÚDOS AUDIOVISUAIS PARA INGEST NA CLOUD

2016-2019

CORAL-TOOLS

CORAL – Sustainable Ocean Exploitation: Tools and Sensors

2016-2018

SafeCloud

Secure and Resilient Cloud Architecture

2015-2018

NanoStima-RL1

NanoSTIMA - Macro-to-Nano Human Sensing Technologies

2015-2019

NanoStima-RL3

NanoSTIMA - Health data infrastructure

2015-2019

SMILES

SMILES - Smart, Mobile, Intelligent and Large scale Sensing and analytics

2015-2019

UPGRID

Real proven solutions to enable active demand and distributed generation flexible integration, through a fully controllable LOW Voltage and medium voltage distribution grid

2015-2017

LeanBigData

Ultra-Scalable and Ultra-Efficient Integrated and Visual Big Data Analytics

2014-2017

Practice

Privacy-Preserving Computation in the Cloud

2013-2016

CoherentPaaS

A Coherent and Rich PaaS with a Common Programming Model

2013-2016

Team
001

Laboratory

CLOUDinha

Publications

HASLab Publications

View all Publications

2021

Hubs for VirtuosoNext: Online verification of real-time coordinators

Authors
Cledou, G; Proenca, J; Sputh, BHC; Verhulst, E;

Publication
Science of Computer Programming

Abstract

2021

Experiences on teaching alloy with an automated assessment platform

Authors
Macedo, N; Cunha, A; Pereira, J; Carvalho, R; Silva, R; Paiva, AC; Sozinho Ramalho, M; Silva, D;

Publication
Science of Computer Programming

Abstract

2021

Secure Conflict-free Replicated Data Types

Authors
Barbosa, M; Ferreira, B; Marques, JC; Portela, B; Preguiça, NM;

Publication
ICDCN '21: International Conference on Distributed Computing and Networking, Virtual Event, Nara, Japan, January 5-8, 2021.

Abstract

2021

GreenHub: a large-scale collaborative dataset to battery consumption analysis of android devices

Authors
Pereira, R; Matalonga, H; Couto, M; Castor, F; Cabral, B; Carvalho, P; de Sousa, SM; Fernandes, JP;

Publication
EMPIRICAL SOFTWARE ENGINEERING

Abstract
Context The development of solutions to improve battery life in Android smartphones and the energy efficiency of apps running on them is hindered by diversity. There are more than 24k Android smartphone models in the world. Moreover, there are multiple active operating system versions, and a myriad application usage profiles. Objective In such a high-diversity scenario, profiling for energy has only limited applicability. One would need to obtain information about energy use in real usage scenarios to make informed, effective decisions about energy optimization. The goal of our work is to understand how Android usage, apps, operating systems, hardware, and user habits influence battery lifespan. Method We leverage crowdsourcing to collect information about energy in real-world usage scenarios. This data is collected by a mobile app, which we developed and made available to the public through Google Play store, and periodically uploaded to a centralized server and made publicly available to researchers, app developers, and smartphone manufacturers through multiple channels (SQL, REST API, zipped CSV/Parquet dump). Results This paper presents the results of a wide analysis of the tendency several smart-phone characteristics have on the battery charge/discharge rate, such as the different models, brands, networks, settings, applications, and even countries. Our analysis was performed over the crowdsourced data, and we have presented findings such as which applications tend to be around when battery consumption is the highest, do users from different countries have the same battery usage, and even showcase methods to help developers find and improve energy inefficient processes. The dataset we considered is sizable; it comprises 23+ million (anonymous) data samples stemming from a large number of installations of the mobile app. Moreover, it includes 700+ million data points pertaining to processes running on these devices. In addition, the dataset is diverse. It covers 1.6k+ device brands, 11.8k+ smartphone models, and more than 50 Android versions. We have been using this dataset to perform multiple analyses. For example, we studied what are the most common apps running on these smartphones and related the presence of those apps in memory with the battery discharge rate of these devices. We have also used this dataset in teaching, having had students practicing data analysis and machine learning techniques for relating energy consumption/charging rates with many other hardware and software qualities, attributes and user behaviors. Conclusions The dataset we considered can support studies with a wide range of research goals, be those energy efficiency or not. It opens the opportunity to inform and reshape user habits, and even influence the development of both hardware (manufacturers) and software (developers) for mobile devices. Our analysis also shows results which go outside of the common perception of what impacts battery consumption in real-world usage, while exposing new varied, complex, and promising research avenues.

2021

Heterogeneous Models and Modelling Approaches for Engineering of Interactive Systems

Authors
Ait Ameur, Y; Bowen, J; Campos, J; Palanque, P; Weyers, B;

Publication
Interact. Comput.

Abstract

Supervised Theses

2020

Extending Conflict Free Replicated Data Types Fault Models

Author
Houssam Ahmad Yactine

Institution
UP-FCUP

2020

Peer-production and Technology-enhanced Collaborative Teaching and Learning (Models, Methods and Framework)

Author
sara dos Santos Fernandes

Institution
UP-FCUP

2020

TrustZone based Attestation in Secure Runtime Verification for Embbeded Systems

Author
Miguel Miranda Quaresma

Institution
UM

2020

Suporte ao desenvolvimento de aplicações críticas em sistemas embebidos

Author
Lisandra Maria Pereira da Silva

Institution
UM

2020

Prototipagem de Interfaces

Author
Rafael Braga Gomes da Costa

Institution
UM

Facts & Figures

21Senior Researchers

2016

0Book Chapters

2020

14Proceedings in indexed conferences

2020

Contacts