Esame completo di Software Engineering 2 per il corso di Computer Engineering presso Politecnico di Milano. Materiale proveniente dall’archivio storico Studwiz e classificato per la consultazione online.
Esame completo di Software Engineering 2 per il corso di Computer Engineering presso Politecnico di Milano. Materiale proveniente dall’archivio storico Studwiz e classificato per la consultazione online.
Qualità dell’importazione: il testo è stato estratto direttamente dal documento originale.
Passaggi rappresentativi riconosciuti nelle diverse parti del materiale. Il testo completo resta presente nella pagina per la ricerca, mentre l’anteprima compatta rende più semplice la lettura.
Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano Prof. Elisabetta Di Nitto, Matteo Rossi and Damian Tamburri 20133 Milano (Italia) Piazza Leonardo da Vinci, 32 Tel. (39) 02-2399.3400 Fax (39) 02-2399.3411 Software Engineering 2 – Written Exam 2 (WE2) July 1st, 2022 Last Name, First Name Id number (Matricola) Number of paper sheets you are submitting as part of the exam Notes 1. Remember to write your name and Id number (matricola) on each piece of paper that you hand in. 2. You may use a pencil. 3. Incomprehensible handwriting is equivalent to not providing an answer. 4. The use of any electronic apparatus (computer, cell phone, camera, etc.) is strictly forbidden, with the exception of an ebook reader. 5. The exam is composed of 2 parts, one focusing on requirements, and one focusing on design. Read carefully all points in the text! 6. Total available time for WE2: 1h and 30 mins System Description: PoliFlix – a content management platform for next-gen MOOCs@PoliMi Politecnico di Milano wants to build PoliFlix, an online content management platform, connected to an external video streaming system, to support its Massive Open Online Course offer. PoliFlix is used by lecturers to provide and classify video contents and by students, who view videos either alone or in a collaborative manner (this is called "stream party” and is explained below). PoliFlix also gathers user statistics (e.g., most common topics browsed/streamed per user, login time, etc.) and content statistics (e.g., times content was streamed) to enable content management, suggestions and also the proper configuration of the associated streaming system. PoliFlix should be designed to recommend streaming content to users by topics (e.g., Artificial Intelligence, Public Spaces,…
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