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Automated Detection, Categorisation and Developers' Experience with the Violations of Honesty in Mobile Apps., , , , , , , , , and . CoRR, (2022)How do software practitioners perceive human-centric defects?, , , and . CoRR, (2024)An end-to-end model-based approach to support big data analytics development., , , , , and . J. Comput. Lang., (2020)Automated identification of security discussions in microservices systems: Industrial surveys and experiments., , , , , , , and . J. Syst. Softw., (2021)Characterizing Human Aspects in Reviews of COVID-19 Apps., , , , , , , and . MOBILESoft, page 38-49. IEEE, (2022)Adaptive User Interfaces for Software Supporting Chronic Diseases., , , and . VL/HCC, page 215-218. IEEE, (2023)A First Step Towards Detecting Values-violating Defects in Android APIs., , and . CoRR, (2021)Automated detection, categorisation and developers' experience with the violations of honesty in mobile apps., , , , , , , , , and . Empir. Softw. Eng., 28 (6): 134 (November 2023)BiDaML: A Suite of Visual Languages for Supporting End-User Data Analytics., , , , and . BigData Congress, page 93-97. IEEE, (2019)Modelling Age of End-Users Using Wire-Frames., , , , , , , and . ENASE (Selected Papers), volume 1556 of Communications in Computer and Information Science, page 44-66. Springer, (2021)