Martí Manzano

According to our database, Martí Manzano authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Forecasting software indicators: an industry-academia collaboration.

Claudia P. Ayala, Cristina Gómez, Martí Manzano, Antonin Abherve, Xavier Franch

Empir. Softw. Eng., November, 2024

Specification, estimation and monitoring of quality-related software strategic indicators in agile software development

Martí Manzano

PhD thesis, 2024

TrustML: A Python package for computing the trustworthiness of ML models.

Martí Manzano, Claudia P. Ayala, Cristina Gómez

SoftwareX, 2024

2021

QaSD: A Quality-aware Strategic Dashboard for supporting decision makers in Agile Software Development.

Lidia López, Martí Manzano, Cristina Gómez, Marc Oriol, Carles Farré, Xavier Franch, Silverio Martínez-Fernández, Anna Maria Vollmer

Sci. Comput. Program., 2021

A Method to Estimate Software Strategic Indicators in Software Development: An Industrial Application.

Martí Manzano, Claudia P. Ayala, Cristina Gómez, Antonin Abherve, Xavier Franch, Emilia Mendes

Inf. Softw. Technol., 2021

2019

A Software Service Supporting Software Quality Forecasting.

Martí Manzano, Claudia P. Ayala, Cristina Gómez, Lidia López Cuesta

Proceedings of the 19th IEEE International Conference on Software Quality, 2019

2018

Definition of the On-time Delivery Indicator in Rapid Software Development.

Martí Manzano, Cristina Gómez, Claudia P. Ayala, Silverio Martínez-Fernández, Prabhat Ram, Pilar Rodríguez, Marc Oriol

Proceedings of the 1st IEEE International Workshop on Quality Requirements in Agile Projects, 2018

Using Bayesian Networks to estimate Strategic Indicators in the context of Rapid Software Development.

Martí Manzano, Emilia Mendes, Cristina Gómez, Claudia P. Ayala, Xavier Franch

Proceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering, 2018

2017

Deep Learning Using EEG Data in Time and Frequency Domains for Sleep Stage Classification.

Martí Manzano, Alberto Guillén, Ignacio Rojas, Luis Javier Herrera

Proceedings of the Advances in Computational Intelligence, 2017

Combination of EEG Data Time and Frequency Representations in Deep Networks for Sleep Stage Classification.

Martí Manzano, Alberto Guillén, Ignacio Rojas, Luis Javier Herrera

Proceedings of the Intelligent Computing Theories and Application, 2017