Software Process Improvement in Multimodel Environments. - André L. Ferreira; Ricardo Jorge Machado 001 (ICSEA, 2009)

Quantitative Analysis of Best Practices Models in the Software Domain. - André L. Ferreira; Ricardo Jorge Machado 001; Mark C. Paulk (APSEC, 2010)

Size and Complexity Attributes for Multimodel Improvement Framework Taxonomy. - André L. Ferreira; Ricardo Jorge Machado 001; Mark C. Paulk (EUROMICRO-SEAA, 2010)

An approach to improving software inspections performance. - André L. Ferreira; Ricardo Jorge Machado 001; Jose G. Silva; Rui F. Batista; Lino A. Costa; Mark C. Paulk (ICSM, 2010)

An Approach to Software Process Design and Implementation Using Transition Rules. - André L. Ferreira; Ricardo Jorge Machado 001; Mark C. Paulk (EUROMICRO-SEAA, 2011)

Supporting Audits and Assessments in Multi-model Environments. - André L. Ferreira; Ricardo Jorge Machado 001; Mark C. Paulk (PROFES, 2011)

Mining Rational Team Concert Repositories: A Case Study on a Software Project. - Pedro Cunha; André L. Ferreira; Paulo Cortez 001 (EPIA, 2017)

An Analysis of the Commonality and Differences Between ASPICE and ISO26262 in the Context of Software Development. - Pedro Oliveira 004; André L. Ferreira; Daniel Dias; Tiago F. Pereira; Paula Monteiro; Ricardo J. Machado 001 (EuroSPI, 2017)

Systematic literature review on driving behavior. - Afonso Vilaça; Pedro Cunha; André L. Ferreira (ITSC, 2017)

A Machine Learning Approach to Detect Violent Behaviour from Video. - David Nova; André L. Ferreira; Paulo Cortez 001 (INTETAIN, 2018)

A Systematic Reuse-Based Approach for Customized Cloned Variants. - Karam Ignaim; João M. Fernandes 001; André L. Ferreira; Jana Seidel (QUATIC, 2018)

Development of a Grooming Process for an Agile Software Team in the Automotive Domain. - Francisca Ribeiro; André L. Ferreira; Anabela Tereso; Deborah Perrotta (WorldCIST (1), 2018)

On the Use of Smartphone Sensors for Developing Advanced Driver Assistance Systems. - Nuno M. Santos; André L. Ferreira; João M. Fernandes 001 (SmartCity360°, 2019)

Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds. - Alexandrine Ribeiro; Luís Miguel Matos; Pedro José Pereira; Eduardo C. Nunes; André L. Ferreira; Paulo Cortez 001; André Luiz Pilastri (CoRR, 2020)

Web based Object Annotation Tool using a Triplet-ReID Sorting Approach. - Afonso Costa; André L. Ferreira; João M. Fernandes 001 (ICPRAM, 2021)

Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection. - Gabriel Coelho; Pedro José Pereira; Luís Miguel Matos; Alexandrine Ribeiro; Eduardo C. Nunes; André L. Ferreira; Paulo Cortez 001; André Luiz Pilastri (AIAI, 2021)

Using Deep Autoencoders for In-vehicle Audio Anomaly Detection. - Pedro José Pereira; Gabriel Coelho; Alexandrine Ribeiro; Luís Miguel Matos; Eduardo C. Nunes; André L. Ferreira; André Luiz Pilastri; Paulo Cortez 001 (KES, 2021)

A concrete product derivation in software product line engineering: a practical approach. - Karam Ignaim; Khalid Alkharabsheh; André L. Ferreira; João M. Fernandes 001 (Int. J. Comput. Appl. Technol., 2022)

Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio. - Gabriel Coelho; Luís Miguel Matos; Pedro José Pereira; André L. Ferreira; André Luiz Pilastri; Paulo Cortez 001 (Neural Comput. Appl., 2022)

An industrial experience of using reference architectures for mapping features to code. - Karam Ignaim; João M. Fernandes 001; André L. Ferreira (Sci. Comput. Program., 2024)

Automatic detection of scratching events on vehicles with audio-based spectrograms. - André R. Soares; André L. Ferreira; João M. Fernandes 001 (Expert Syst. Appl., 2025)

MLOps for Developing Machine-Learning-Enhanced Automotive Applications: Experience at the Bosch Cross-Domain Computing Solutions Division. - André L. Ferreira; João M. Fernandes 001 (IEEE Softw., 2025)