2017
Autores
Matthews, J; Charles, F; Porteous, J; Mendes, A;
Publicação
AAMAS
Abstract
2017
Autores
Matthews, J; Charles, F; Porteous, J; Mendes, A;
Publicação
AAMAS
Abstract
2017
Autores
Almohammad, A; Ferreira, JF; Mendes, A; White, P;
Publicação
2017 IEEE 25TH INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE WORKSHOPS (REW)
Abstract
This paper presents REQCAP, an implementation of a new method that articulates hierarchical requirements modeling and test generation to assist in the process of capturing requirements for PLC-based control systems. REQCAP is based on a semi-formal graphical model that supports hierarchical modeling, thus enabling compositional specifications. The tool supports automated generation of test cases according to different coverage criteria. It can also import requirements directly from REQIF files and automatically generate Sequential Function Charts (SFCs). We use a real-world case study to show how REQCAP can be used to model realistic system requirements. We show how the automated generation of SFCs and test cases can support engineers (and clients) in visualizing and reviewing requirements. Moreover, all the tests listed in the original test document of the case study are also generated automatically by REQCAP, demonstrating that the tool can be used to effectively capture requirements and generate valid and useful test cases.
2025
Autores
Amaral, I; Mendes, A; Campos, J;
Publicação
CoRR
Abstract
2025
Autores
Silva, AF; Mendes, A; Martins, R;
Publicação
CoRR
Abstract
2025
Autores
Afonso, M; Saavedra, N; Lourenço, B; Mendes, A; Ferreira, JF;
Publicação
CoRR
Abstract
Systematic reviews and mapping studies are critical to synthesize research, identify gaps, and guide future work, but are often labor-intensive and time-consuming. Existing tools provide partial support for specific steps, leaving much of the process manual and error-prone. We present ProfOlaf, a semi-automated tool designed to streamline systematic reviews while maintaining methodological rigor. ProfOlaf supports iterative snowballing for article collection with human-in-the-loop filtering and uses large language models to help select articles, extract key topics, and answer queries about the content of articles. By combining automation with guided manual effort, ProfOlaf enhances the efficiency, quality, and reproducibility of systematic reviews across research fields. ProfOlaf can be used both as a CLI tool and in web application format. A video demonstrating ProfOlaf is available at: https://youtu.be/R-gY4dJlN3s © 2026 Copyright held by the owner/author(s).
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