activity
20202024
most citedA systematic review and taxonomy of explanations in decision support and recommender systems

386 citations · 591 across the 15 of their papers we have counts for

collaborators
Showing 2020Show all

9 papers · 1 filter

cs.SE2020★ 27 cited

Understanding Application-Level Caching in Web Applications: A Comprehensive Introduction and Survey of State-of-the-Art

Jhonny Mertz, Ingrid Nunes

A new form of caching, namely application-level caching, has been recently employed in web applications to improve their performance and increase scalability. It consists of the in…

cs.SE2020★ 20 cited

Automation of application-level caching in a seamless way

Jhonny Mertz, Ingrid Nunes

Meeting performance and scalability requirements while delivering services is a critical issue in web applications. Recently, latency and cost of Internet-based services are encour…

cs.SE2020★ 35 cited

A Qualitative Study of Application-level Caching

Jhonny Mertz, Ingrid Nunes

Latency and cost of Internet-based services are encouraging the use of application-level caching to continue satisfying users' demands, and improve the scalability and availability…

cs.SE2020★ 5 cited

Satisfying Increasing Performance Requirements with Caching at the Application Level

Jhonny Mertz, Ingrid Nunes, Luca Della Toffola +2

Application-level caching is a form of caching that has been increasingly adopted to satisfy performance and throughput requirements. The key idea is to store the results of a comp…

cs.SE2020

Learning to Learn in Collective Adaptive Systems: Mining Design Patterns for Data-driven Reasoning

Mirko D'Angelo, Sona Ghahremani, Simos Gerasimou +4

Engineering collective adaptive systems (CAS) with learning capabilities is a challenging task due to their multi-dimensional and complex design space. Data-driven approaches for C…

cs.AI2020★ 17 cited

Quantitatively Assessing the Benefits of Model-driven Development in Agent-based Modeling and Simulation

Fernando Santos, Ingrid Nunes, Ana L. C. Bazzan

The agent-based modeling and simulation (ABMS) paradigm has been used to analyze, reproduce, and predict phenomena related to many application areas. Although there are many agent-…

cs.AI2020★ 6 cited

Explaining reputation assessments

Ingrid Nunes, Phillip Taylor, Lina Barakat +2

Reputation is crucial to enabling human or software agents to select among alternative providers. Although several effective reputation assessment methods exist, they typically dis…

cs.AI2020★ 386 cited

A systematic review and taxonomy of explanations in decision support and recommender systems

Ingrid Nunes, Dietmar Jannach

With the recent advances in the field of artificial intelligence, an increasing number of decision-making tasks are delegated to software systems. A key requirement for the success…

cs.SE2020★ 1 cited

The Impact of Dynamics of Collaborative Software Engineering on Introverts: A Study Protocol

Ingrid Nunes, Christoph Treude, Fabio Calefato

Background: Collaboration among software engineers through face-to-face discussions in teams has been promoted since the adoption of agile methods. However, these discussions might…