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Books and Theses
- 2024
[b1]Martí Manzano:
Specification, estimation and monitoring of quality-related software strategic indicators in agile software development. Polytechnic University of Catalonia, Spain, 2024
Journal Articles
- 2024
- [j4]Claudia P. Ayala
, Cristina Gómez, Martí Manzano, Antonin Abherve, Xavier Franch:
Forecasting software indicators: an industry-academia collaboration. Empir. Softw. Eng. 29(6): 153 (2024) - [j3]Martí Manzano, Claudia P. Ayala, Cristina Gómez:
TrustML: A Python package for computing the trustworthiness of ML models. SoftwareX 26: 101740 (2024) - 2021
- [j2]Martí Manzano, Claudia P. Ayala, Cristina Gómez, Antonin Abherve, Xavier Franch, Emilia Mendes:
A Method to Estimate Software Strategic Indicators in Software Development: An Industrial Application. Inf. Softw. Technol. 129: 106433 (2021) - [j1]Lidia López, Martí Manzano, Cristina Gómez, Marc Oriol, Carles Farré, Xavier Franch, Silverio Martínez-Fernández, Anna Maria Vollmer:
QaSD: A Quality-aware Strategic Dashboard for supporting decision makers in Agile Software Development. Sci. Comput. Program. 202: 102568 (2021)
Conference and Workshop Papers
- 2019
- [c5]Martí Manzano, Claudia P. Ayala, Cristina Gómez, Lidia López Cuesta:
A Software Service Supporting Software Quality Forecasting. QRS Companion 2019: 130-132 - 2018
- [c4]Martí Manzano, Emilia Mendes, Cristina Gómez, Claudia P. Ayala, Xavier Franch:
Using Bayesian Networks to estimate Strategic Indicators in the context of Rapid Software Development. PROMISE 2018: 52-55 - [c3]Martí Manzano, Cristina Gómez, Claudia P. Ayala, Silverio Martínez-Fernández, Prabhat Ram, Pilar Rodríguez, Marc Oriol:
Definition of the On-time Delivery Indicator in Rapid Software Development. QuaRAP@RE 2018: 1-5 - 2017
- [c2]Martí Manzano, Alberto Guillén, Ignacio Rojas, Luis Javier Herrera:
Combination of EEG Data Time and Frequency Representations in Deep Networks for Sleep Stage Classification. ICIC (2) 2017: 219-229 - [c1]Martí Manzano, Alberto Guillén, Ignacio Rojas, Luis Javier Herrera:
Deep Learning Using EEG Data in Time and Frequency Domains for Sleep Stage Classification. IWANN (1) 2017: 132-141
Coauthor Index
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