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Sciprofile linkAnastasios Panagiotis Psathas, Antonios Papaleonidas, George Papathanassiou, Sotiris Valkaniotis, Sciprofile linkLazaros Iliadis
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference pp 15-31; doi:10.1007/978-3-030-48791-1_2

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Sciprofile linkMagdalini Tyrtaiou, Antonios Papaleonidas, Anaxagoras Elenas, Sciprofile linkLazaros Iliadis
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference pp 85-98; doi:10.1007/978-3-030-48791-1_6

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Lecture Notes in Business Information Processing pp 103-112; doi:10.1007/978-3-030-49392-9_7

Abstract:
User stories are popular for conveying requirements in agile software projects. Despite existing quality criteria, authors make formal mistakes that result in “bad” user story quality. If developers have insufficient experience in balancing quality problems, the creation of a shared mental model is impossible, thus increasing the risk of impacts on the project’s success. This article provides a work-in-progress research model to set these variables in relation and establish a systematic method to uncover answers regarding their correlation. Details on the effects support research in agile requirements engineering to gain a better understanding of cognitive processes in the comprehension of user stories. In addition, insights can help to develop design recommendations and AI tools to improve user stories. A first evaluation of the model provides promising insights into the behavior and forms a basis for future research.
Evagelos Georgios Chatzopoulos, George Anastassopoulos, Efstathios Detorakis, Sciprofile linkAdam Adamopoulos
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference pp 389-396; doi:10.1007/978-3-030-48791-1_30

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Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference pp 410-422; doi:10.1007/978-3-030-48791-1_32

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Sciprofile linkTheofanis Aravanis, Andreas Petratos, Georgia Douklia
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference pp 511-520; doi:10.1007/978-3-030-48791-1_40

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Sciprofile linkStamatis Chatzistamatis, Anastasios Rigos, George E. Tsekouras
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference pp 261-273; doi:10.1007/978-3-030-48791-1_20

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