Cognitive aspects of error finding on a simulation conceptual modeling notation

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2008

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Software Engineering
(2005)
Department of Software Engineering was founded in 2005 as the first department in Ankara in Software Engineering. The recent developments in current technologies such as Artificial Intelligence, Machine Learning, Big Data, and Blockchains, have placed Software Engineering among the top professions of today, and the future. The academic and research activities in the department are pursued with qualified faculty at Undergraduate, Graduate and Doctorate Degree levels. Our University is one of the two universities offering a Doctorate-level program in this field. In addition to focusing on the basic phases of software (analysis, design, development, testing) and relevant methodologies in detail, our department offers education in various areas of expertise, such as Object-oriented Analysis and Design, Human-Computer Interaction, Software Quality Assurance, Software Requirement Engineering, Software Design and Architecture, Software Project Management, Software Testing and Model-Driven Software Development. The curriculum of our Department is catered to graduate individuals who are prepared to take part in any phase of software development of large-scale software in line with the requirements of the software sector. Department of Software Engineering is accredited by MÜDEK (Association for Evaluation and Accreditation of Engineering Programs) until September 30th, 2021, and has been granted the EUR-ACE label that is valid in Europe. This label provides our graduates with a vital head-start to be admitted to graduate-level programs, and into working environments in European Union countries. The Big Data and Cloud Computing Laboratory, as well as MobiLab where mobile applications are developed, SimLAB, the simulation laboratory for Medical Computing, and software education laboratories of the department are equipped with various software tools and hardware to enable our students to use state-of-the-art software technologies. Our graduates are employed in software and R&D companies (Technoparks), national/international institutions developing or utilizing software technologies (such as banks, healthcare institutions, the Information Technologies departments of private and public institutions, telecommunication companies, TÜİK, SPK, BDDK, EPDK, RK, or universities), and research institutions such TÜBİTAK.

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The aim of the study is to investigate and compare experimentally the error finding strategies of a notation-familiar group with degrees in computer science related fields and a domain-familiar group on a simulation conceptual modeling representation based on UML. The use of eye movement and verbal protocols together with performance data underline the differences such as error finding and reasoning between two groups. The experiment with 20 participants also reveals that the diagrammatic complexity and the degree of causal chaining are the properties of diagrams that affect understanding, reasoning and problem solving with conceptual modeling representations. In a follow-up study with 24 university students, it is seen that these properties are independent of gender. The study also emphasizes the combination of different data collection modalities, namely eye movements, verbal protocol and performance data to be effective in uncovering individual differences in human-computer interaction studies in the domain of software engineering. © 2008 IEEE.

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Diagrammatic reasoning, Simulation conceptual modeling

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6

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2008 23rd International Symposium on Computer and Information Sciences, ISCIS 2008 -- 2008 23rd International Symposium on Computer and Information Sciences, ISCIS 2008 -- 27 October 2008 through 29 October 2008 -- Istanbul -- 75080

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https://doi.org/10.1109/ISCIS.2008.4717930
 https://hdl.handle.net/20.500.14411/3581

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Scopus