Výsledky vyhledávání - "Aitor Arrieta"

Uncertainty-Aware Robustness Assessment of Industrial Elevator Systems

Autor: Liping Han, Shaukat Ali, Tao Yue, Aitor Arrieta, Maite Arratibel

Publikováno v: ACM Transactions on Software Engineering and Methodology. 32:1-51

Industrial elevator systems are commonly used software systems in our daily lives, which operate in uncertain environments such as unpredictable passenger traffic, uncertain passenger attributes and behaviors, and hardware delays. Understanding and a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::03d3a15b199d88fd9b5964bf3b170fde
https://doi.org/10.1145/3576041

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Some Seeds Are Strong: Seeding Strategies for Search-based Test Case Selection

Autor: Goiuria Sagardui, Aitor Arrieta, Joseba Andoni Agirre, Pablo Valle Entrena

Publikováno v: ACM Transactions on Software Engineering and Methodology. 32:1-47

The time it takes software systems to be tested is usually long. Search-based test selection has been a widely investigated technique to optimize the testing process. In this article, we propose a set of seeding strategies for the test case selection

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c3fefe3839bdd8aec390d5ba7e5578d5
https://doi.org/10.1145/3532182

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A microservice-based framework for multi-level testing of cyber-physical systems

Autor: Iñigo Aldalur, Aitor Arrieta, Aitor Agirre, Goiuria Sagardui, Maite Arratibel

Publikováno v: Software Quality Journal.

In the last years, the use of microservice architectures is spreading in Cyber-Physical Systems (CPSs) and Internet of Things (IoT) domains. CPSs are systems that integrate digital cyber computations with physical processes. The development of softwa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3fdb068eeaed8845b239d1a8922ed6b8
https://doi.org/10.1007/s11219-023-09639-z

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Dynamic test prioritization of product lines: An application on configurable simulation models

Autor: Urtzi Markiegi, Goiuria Sagardui, Leire Etxeberria, Aitor Arrieta

Publikováno v: Software Quality Journal. 29:943-988

Product line testing is challenging due to the potentially huge number of configurations. Several approaches have tackled this challenge; most of them focused on reducing the number of tested products by selecting a representative subset. However, li

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ab811d0b172ea81127724f1f53233283
https://doi.org/10.1007/s11219-021-09571-0

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