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Publications

Publications by CSIG

2020

ArchOnto, a CIDOC-CRM-Based Linked Data Model for the Portuguese Archives

Authors
Koch, I; Ribeiro, C; Lopes, CT;

Publication
Digital Libraries for Open Knowledge - Lecture Notes in Computer Science

Abstract

2020

Visual Self-healing Modelling for Reliable Internet-of-Things Systems

Authors
Dias, JP; Lima, B; Faria, JP; Restivo, A; Ferreira, HS;

Publication
Lecture Notes in Computer Science - Computational Science – ICCS 2020

Abstract

2020

Local Observability and Controllability Analysis and Enforcement in Distributed Testing with Time Constraints

Authors
Lima, B; Faria, JP; Hierons, R;

Publication
IEEE Access

Abstract

2020

The ProcessPAIR Method for Automated Software Process Performance Analysis

Authors
Raza, M; Faria, JP;

Publication
IEEE ACCESS

Abstract
High-maturity software development processes and development environments with automated data collection can generate significant amounts of data that can be periodically analyzed to identify performance problems, determine their root causes, and devise improvement actions. However, conducting the analysis manually is challenging because of the potentially large amount of data to analyze, the effort and expertise required, and the lack of benchmarks for comparison. In this article, we present ProcessPAIR, a novel method with tool support designed to help developers analyze their performance data with higher quality and less effort. Based on performance models structured manually by process experts and calibrated automatically from the performance data of many process users, it automatically identifies and ranks performance problems and potential root causes of individual subjects, so that subsequent manual analysis for the identification of deeper causes and improvement actions can be appropriately focused. We also show how ProcessPAIR was successfully instantiated and used in software engineering education and training, helping students analyze their performance data with higher satisfaction (by 25%), better quality of analysis outcomes (by 7%), and lower effort (by 4%), as compared to a traditional approach (with reduced tool support).

2020

A living lab for professional skills development in Software Engineering Management at U.Porto

Authors
Gonçalves, GM; Meneses, R; Faria, JP; Vidal, RM;

Publication
2020 IEEE Global Engineering Education Conference, EDUCON 2020, Porto, Portugal, April 27-30, 2020

Abstract

2020

The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons

Authors
Christley, S; Aguiar, A; Blanck, G; Breden, F; Chan Bukhari, SA; Busse, CE; Jaglale, J; Harikrishnan, SL; Laserson, U; Peters, B; Rocha, A; Schramm, CA; Taylor, S; Vander Heiden, JA; Zimonja, B; Watson, CT; Corrie, B; Cowell, LG;

Publication
Frontiers Big Data

Abstract

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