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Raúl Lapeña
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2020 – today
- 2024
- [j10]Ana Cristina Marcén, Antonio Iglesias, Raúl Lapeña, Francisca Pérez, Carlos Cetina:
A Systematic Literature Review of Model-Driven Engineering Using Machine Learning. IEEE Trans. Software Eng. 50(9): 2269-2293 (2024) - [c11]Javier Verón, Raúl Lapeña, Carlos Cetina, Óscar Pastor, Francisca Pérez:
Improving Requirement Traceability by Leveraging Video Game Simulations in Search-Based Software Engineering. CAiSE 2024: 352-367 - 2023
- [j9]Francisca Pérez, Raúl Lapeña, Ana Cristina Marcén, Carlos Cetina:
How the Quality of Maintenance Tasks is Affected by Criteria for Selecting Engineers for Collaboration. ACM Trans. Softw. Eng. Methodol. 32(3): 63:1-63:22 (2023) - 2022
- [j8]Raúl Lapeña, Francisca Pérez, Oscar Pastor, Carlos Cetina:
Leveraging execution traces to enhance traceability links recovery in BPMN models. Inf. Softw. Technol. 146: 106873 (2022) - [j7]Raúl Lapeña, Francisca Pérez, Carlos Cetina, Oscar Pastor:
Leveraging BPMN particularities to improve traceability links recovery among requirements and BPMN models. Requir. Eng. 27(1): 135-160 (2022) - 2021
- [j6]Francisca Pérez, Raúl Lapeña, Ana Cristina Marcén, Carlos Cetina:
Topic modeling for feature location in software models: Studying both code generation and interpreted models. Inf. Softw. Technol. 140: 106676 (2021) - 2020
- [j5]Francisca Pérez, Ana Cristina Marcén, Raúl Lapeña, Carlos Cetina:
Evaluating Low-Cost in Internal Crowdsourcing for Software Engineering: The Case of Feature Location in an Industrial Environment. IEEE Access 8: 65745-65757 (2020) - [j4]Francisca Pérez, Jorge Echeverría, Raúl Lapeña, Carlos Cetina:
Comparing manual and automated feature location in conceptual models: A Controlled experiment. Inf. Softw. Technol. 125: 106337 (2020) - [j3]Ana Cristina Marcén, Raúl Lapeña, Oscar Pastor, Carlos Cetina:
Traceability Link Recovery between Requirements and Models using an Evolutionary Algorithm Guided by a Learning to Rank Algorithm: Train control and management case. J. Syst. Softw. 163: 110519 (2020)
2010 – 2019
- 2019
- [c10]Raúl Lapeña:
Traceability Links Recovery in BPMN Models. CAiSE (Doctoral Consortium) 2019: 52-59 - [c9]Raúl Lapeña, Francisca Pérez, Carlos Cetina, Oscar Pastor:
Improving Traceability Links Recovery in Process Models Through an Ontological Expansion of Requirements. CAiSE 2019: 261-275 - 2018
- [j2]Francisca Pérez, Manuel Ballarín, Raúl Lapeña, Carlos Cetina:
Locating Clone-and-Own Relationships in Model-Based Industrial Families of Software Products to Encourage Reuse. IEEE Access 6: 56815-56827 (2018) - [j1]Francisca Pérez, Raúl Lapeña, Jaime Font, Carlos Cetina:
Fragment retrieval on models for model maintenance: Applying a multi-objective perspective to an industrial case study. Inf. Softw. Technol. 103: 188-201 (2018) - [c8]Raúl Lapeña, Jaime Font, Carlos Cetina, Oscar Pastor:
Exploring New Directions in Traceability Link Recovery in Models: The Process Models Case. CAiSE 2018: 359-373 - 2017
- [c7]Raúl Lapeña, Jaime Font, Carlos Cetina, Oscar Pastor:
Model Fragment Reuse Driven by Requirements. CAiSE-Forum-DC 2017: 73-80 - [c6]Raúl Lapeña, Francisca Pérez, Carlos Cetina:
On the Influence of Models-to-Natural-Language Transformation in Traceability Link Recovery among Requirements and Conceptual Models. ER Forum/Demos 2017: 271-284 - [c5]Raúl Lapeña, Jaime Font, Oscar Pastor, Carlos Cetina:
Analyzing the impact of natural language processing over feature location in models. GPCE 2017: 63-76 - [c4]Francisca Pérez, Ana Cristina Marcén, Raúl Lapeña, Carlos Cetina:
Introducing Collaboration for Locating Features in Models: Approach and Industrial Evaluation. OTM Conferences (1) 2017: 114-131 - 2016
- [c3]Manuel Ballarín, Raúl Lapeña, Carlos Cetina:
Leveraging Feature Location to Extract the Clone-and-Own Relationships of a Family of Software Products. ICSR 2016: 215-230 - [c2]Raúl Lapeña, Manuel Ballarín, Carlos Cetina:
Towards clone-and-own support: locating relevant methods in legacy products. SPLC 2016: 194-203 - [c1]Raúl Lapeña, Jaime Font, Francisca Pérez, Carlos Cetina:
Improving feature location by transforming the query from natural language into requirements. SPLC 2016: 362-369
Coauthor Index
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