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Självständigt​​Arbete​​På​​Grundnivå Självständigt arbete på grundnivå ​ ​ ​ ​ ​ ​ Independent degree project - first cycle ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ Datateknik Computer Engineering ​ ​ Podcast aggregation system ​ ​ ​ ​ - with cross platform synchronization using Dropbox API ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ Erik Ström ​ ​ Mittuniversitetet DT133G, Final project, 15 credits 2017-09-24 ​ ​ ​ ​ ​ ​ ​ ​ DSV Östersund Podcast Aggregation System ​ ​ ​ ​ ​ ​ Erik Ström ​ ​ MID SWEDEN UNIVERSITY ​ ​ ​ ​ Avdelningen för data och systemvetenskap ​ ​ ​ ​ ​ ​ ​ ​ Examiner Felix Dobslaw [email protected] ​ ​ Supervisor Pär-Ove Forss [email protected] ​ ​ Author Erik Ström [email protected] ​ ​ Degree Programme Programvaruteknik 180 credits ​ ​ ​ ​ Main Field of Study Software development ​ ​ ​ ​ ​ ​ ​ ​ Semester, year VT, 2017 ​ ​ ​ ​ 1 Mittuniversitetet DT133G, Final project, 15 credits 2017-09-24 ​ ​ ​ ​ ​ ​ ​ ​ DSV Östersund Podcast Aggregation System ​ ​ ​ ​ ​ ​ Erik Ström ​ ​ Abstract The purpose of this study was to construct an alternative solution to proprietary and licensed products ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ used in the aggregation of podcast information and playback of related audio content. The primary ​ ​ ​ ​ ​ ​​ ​ ​​ ​ ​​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ feature of this solution was to offer its users cross platform synchronization of relevant information ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ such as episodic progression and tracking as well as subscriptions in regards to podcasting channels. An ​ ​ ​ ​​ ​ ​ ​ ​​ ​ ​​ ​ ​ ​ ​ ​ ​ ​ ​​ ​ ​​ ​ ​ ​ ​ ​ ​​ ​ ​​ ​ ​ ​ application providing podcatching capabilities was developed and its features determined through the ​ ​ ​ ​​ ​ ​​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ process of comparing similar existing solutions. Based on this comparison a Quality Assurance Model ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​​ ​ ​ ​ ​ (QAM) was created and used as a tool of measuring podcatching capabilities of any media playing ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​​ ​ ​​ ​ ​ ​ ​ ​ ​ ​ ​ software, including the very solution resulting from this study. Questions such as how to find and ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​​ ​ ​ ​ ​ ​ ​ subscribe to podcast channels was answered through the analysis of syndication feeds, exposing their ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​​ ​ ​ ​ ​ ​ ​ ​ structure and how its contents may not only be read but also stored to best accomodate requirements ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ deemed to be necessary. The resulting application was subsequently determined, by QAM, to fulfill its ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​​ ​ ​ ​ ​ ​ ​ ​ main objective of cross platform synchronization. Though, in the end , the application failed to offer ​ ​ ​ ​ ​ ​​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ enough supporting functionality to be considered as a sufficiently featured podcatching client and thus ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​​ ​ ​ ​ ​ ​ ​ an adequate alternative to existing products. ​ ​​ ​ ​ ​ ​ ​ ​ ​ ​ ​ Keywords: Aggregation, Podcast, Synchronization, Progression, Tracking, Subscription, Podcatching, ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ Quality Assurance Model, Syndication feeds ​ ​ ​ ​ ​ ​ ​ ​ 2 Mittuniversitetet DT133G, Final project, 15 credits 2017-09-24 ​ ​ ​ ​ ​ ​ ​ ​ DSV Östersund Podcast Aggregation System ​ ​ ​ ​ ​ ​ Erik Ström ​ ​ Table of Contents ​ ​ ​ ​ Terminology 6 Acronyms / Abbreviations 6 ​ ​ ​ ​ 1 Introduction 7 ​ ​ 1.1 Background and Problem Motivation 7 ​ ​ ​ ​ ​ ​ ​ ​ 1.2 Overall Aim 7 ​ ​ ​ ​ 1.3 Scope 8 ​ ​ 1.4 Detailed Problem Statement 9 ​ ​ ​ ​ ​ ​ 1.5 Outline 10 ​ ​ 1.6 Contributions 10 ​ ​ 2 Theory 11 ​ ​ 2.1 Podcasts and Podcatchers 11 ​ ​ ​ ​ ​ ​ 2.2 Features of Importance 12 ​ ​ ​ ​ ​ ​ 2.3 Syndication of Web Feeds 14 ​ ​ ​ ​ ​ ​ ​ ​ 2.4 Synchronization 16 ​ ​ 2.5 Java Technologies 17 ​ ​ ​ ​ 2.5.1 Frameworks for Creating Graphical User Interfaces 17 ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ 2.5.2 Working with XML 18 ​ ​ ​ ​ ​ ​ 2.6 Platform Independence 18 ​ ​ ​ ​ 2.7 Dropbox 19 ​ ​ 3 Methodology 20 ​ ​ 3.1 Procedures for Analysis 20 ​ ​ ​ ​ ​ ​ 3.2 Procedures for Implementation 22 ​ ​ ​ ​ ​ ​ 4 Analysis 23 ​ ​ 4.1 Comparison of Podcast Client Software 23 ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ 4.2 Design of Quality Assurance Model 26 ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ 4.3 Application Requirements 28 ​ ​ ​ ​ 4.3.1 Functionality and Appearance Requirements 29 ​ ​ ​ ​ ​ ​ ​ ​ 4.3.2 Data Files and Synchronization Requirements 30 ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ 4.4 Tools Selection 31 ​ ​ ​ ​ 4.4.1 Tools Regarding Syndication Feeds 31 ​ ​ ​ ​ ​ ​ ​ ​ 4.4.2 Tools Regarding OPML Documents 31 ​ ​ ​ ​ ​ ​ ​ ​ 5 Implementation 32 ​ ​ 5.1 Working With OPML Documents Using StAX 32 ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ 3 Mittuniversitetet DT133G, Final project, 15 credits 2017-09-24 ​ ​ ​ ​ ​ ​ ​ ​ DSV Östersund Podcast Aggregation System ​ ​ ​ ​ ​ ​ Erik Ström ​ ​ 5.2 Parsing RSS 2.0 Feeds Using ROME 33 ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ 5.3 Streaming and Downloading Episodes 34 ​ ​ ​ ​ ​ ​ ​ ​ 5.4 Progression and Tracking Information 34 ​ ​ ​ ​ ​ ​ ​ ​ 5.5 Synchronization using Dropbox API v.2 35 ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ 5.6 JavaFX Components 37 ​ ​ ​ ​ 6 Results 38 ​ ​ 6.1 GUI 39 ​ ​ 6.1.1 Channels List 40 ​ ​ ​ ​ 6.1.2 Channel Information 40 ​ ​ ​ ​ 6.1.3 Episodes 41 ​ ​ 6.1.4 Media Player 42 ​ ​ ​ ​ 6.2 Features and QAM Score 43 ​ ​ ​ ​ ​ ​ ​ ​ 7 Discussion 45 ​ ​ 7.1 Compliance to Application Requirements 45 ​ ​ ​ ​ ​ ​ ​ ​ 7.2 Fulfillment of Problem Statements 46 ​ ​ ​ ​ ​ ​ ​ ​ 7.2.1 Main Problem Statements 46 ​ ​ ​ ​ ​ ​ 7.2.2 Supporting Problem Statements 46 ​ ​ ​ ​ ​ ​ 7.3 Conclusions 47 ​ ​ 7.4 Supplements and Additions 47 ​ ​ ​ ​ ​ ​ 7.5 Ethical Considerations 48 ​ ​ ​ ​ References 49 Appendix A: Feature Source Material 51 ​ ​ ​ ​ ​ ​ ​ ​ PodcatcherMatrix 51 Podcast Client Feature Comparison Matrix 52 ​ ​ ​ ​ ​ ​ ​ ​ Appendix B: OPML & StAX 54 ​ ​ ​ ​ ​ ​ ​ ​ Parsing OPML Documents 54 ​ ​ ​ ​ Building OPML Documents 55 ​ ​ ​ ​ Appendix C: Parsing RSS 2.0 Feeds 56 ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ Appendix D: DownloadTask 58 ​ ​ ​ ​ Appendix E: DropboxManager 59 ​ ​ ​ ​ Appendix F: Project Files 61 ​ ​ ​ ​ ​ ​ 4 Mittuniversitetet DT133G, Final project, 15 credits 2017-09-24 ​ ​ ​ ​ ​ ​ ​ ​ DSV Östersund Podcast Aggregation System ​ ​ ​ ​ ​ ​ Erik Ström ​ ​ Terminology Acronyms / Abbreviations ​ ​ ​ ​ API Application Programming Interface ​ ​ ​ ​ DOM Document Object Model ​ ​ ​ ​ GUI Graphical User Interface ​ ​ ​ ​ IETF The Internet Engineering Task Force ​ ​ ​ ​ ​ ​ ​ ​ JAXB Java Architecture for XML Binding ​ ​ ​ ​ ​ ​ ​ ​ JDK Java Development Kit ​ ​ ​ ​ JVM Java Virtual Machine ​ ​ ​ ​ OPML Outline Processor Markup Language ​ ​ ​ ​ ​ ​ QAI Quality Assurance Index ​ ​ ​ ​ QAM Quality Assurance Model ​ ​ ​ ​ QAV Quality Assurance Value ​ ​ ​ ​ RSS Rich Site Summary (or Really Simple Syndication) ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ SDK Software Development Kit ​ ​ ​ ​ SAX Simple API for XML ​ ​ ​ ​ ​ ​ StAX Streaming API for XML ​ ​ ​ ​ ​ ​ UI User Interface ​ ​ XML eXtensible Markup Language ​ ​ ​ ​ 5 Mittuniversitetet DT133G, Final project, 15 credits 2017-09-24 ​ ​ ​ ​ ​ ​ ​ ​ DSV Östersund Podcast Aggregation System ​ ​ ​ ​ ​ ​ Erik Ström ​ ​ 1 Introduction 1.1 Background and Problem Motivation ​ ​ ​ ​ ​ ​ Podcasts has in a short period of time become one of the most popular mediums of delivering both ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ entertainment and news. It’s free and easily obtainable on all main platforms through various means of ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ distribution, most of which offering a wide selection of podcasting channels of different topics and ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ categories. The typical consumer of podcasts has access to multiple devices, each used for specific ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ purposes, and most of them supports the neccessary capabilities of playing media files associated with ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ podcasts. If a user, having progressed halfway through an episode on a certain device, later wishes to ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ continue its playback, but now on a different device, there are but a few approaches to make this ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ possible. The user could either do this manually by remembering the playback position on the first ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ device and simply skipping the corresponding content on the second device, or he could use some kind ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ of service through which the two devices may communicate and exchange such information. This latter ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ alternative utilizes some kind of data synchronization in order to achieve needed conformation of ​ ​ ​ ​ ​ ​ ​ ​ ​ ​​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ progressional data, and in the event these two devices run on different platforms such services would ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ offer cross platform synchronization. ​ ​​ ​ ​ ​ ​ ​ While there are no shortage of podcast aggregation software specifik to certain platforms, there ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​​ ​ doesn’t seem to exist as wide selection of those offering cross platform synchronization. Those that do ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ often
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