Mobile Developer's Guide to the Galaxy
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Product ID Product Type Product Description Notes Price (USD) Weight (KG) SKU 10534 Mobile-Phone Apple Iphone 4S 8GB White 226.8
Rm A1,10/F, Shun Luen Factory Building, 86 Tokwawan Road, Hong Kong TEL: +852 2325 1867 FAX: +852 23251689 Website: http://www.ac-electronic.com/ For products not in our pricelist, please contact our sales. 29/8/2015 Product Price Weight Product Type Product Description Notes SKU ID (USD) (KG) 10534 mobile-phone Apple iPhone 4S 8GB White 226.8 0.5 40599 10491 mobile-phone Apple iPhone 5s 16GB Black Slate 486.4 0.5 40557 10497 mobile-phone Apple iPhone 5s 16GB Gold 495.6 0.5 40563 10494 mobile-phone Apple iPhone 5s 16GB White Silver 487.7 0.5 40560 10498 mobile-phone Apple iPhone 5s 32GB Gold 536.3 0.5 40564 11941 mobile-phone Apple iPhone 6 128GB Gold 784.1 0.5 41970 11939 mobile-phone Apple iPhone 6 16GB Gold 622.8 0.5 41968 11936 mobile-phone Apple iPhone 6 16GB Silver 633.3 0.5 41965 11942 mobile-phone Apple iPhone 6 16GB Space Grey 618.9 0.5 41971 11940 mobile-phone Apple iPhone 6 64GB Gold 705.4 0.5 41969 11937 mobile-phone Apple iPhone 6 64GB Silver 706.7 0.5 41966 11943 mobile-phone Apple iPhone 6 64GB Space Grey 708 0.5 41972 11963 mobile-phone Apple iPhone 6 Plus 128GB Silver 917.9 1 41991 11955 mobile-phone Apple iPhone 6 Plus 16GB Gold 755.3 1 41983 11961 mobile-phone Apple iPhone 6 Plus 16GB Silver 731.6 1 41989 11958 mobile-phone Apple iPhone 6 Plus 16GB Space Grey 735.6 1 41986 11956 mobile-phone Apple iPhone 6 Plus 64GB Gold 843.1 1 41984 11962 mobile-phone Apple iPhone 6 Plus 64GB Silver 841.8 1 41990 11959 mobile-phone Apple iPhone 6 Plus 64GB Space Grey 840.5 1 41987 12733 mobile-phone ASUS ZenFone 2 ZE550ML Dual SIM -
Mobile Attribution & Marketing Analytics for Shopping Apps
Mobile Attribution & Marketing Analytics for Shopping Apps The Complete Guide June 2019 Table of Contents Part 1 - User Acquisition Part 2 - Re-Engagement Chapter 1 - What to Measure and Set Up 6 Chapter 1 - What to Measure and Set Up 32 • Event Mapping • Event Mapping • Deep Linking • Deep Linking and Personalization • Uninstall Measurement • Owned Media • Determining Lookback Windows • Determining Re-Engagement • Fraud Protection Windows • Mapping a Holistic Customer Journey • Retargeting Chapter 2 - Pre-Launch/Campaign 22 Chapter 2 - Pre-Launch/Campaign 42 • Choosing Your Media Sources • Choosing Your Media Sources • Audience Segmentation • Re-Engagement Audience Segmentation Chapter 3 - Best Practices for Effective 29 User Acquisition Chapter 3 - Best Practices for Effective 49 Retargeting 2 Introduction With more products and services ever available, demand from shoppers has driven brands to emphasize mobile commerce, on-the-go and at user’s fingertips whenever the need to buy arises. In fact, App Annie predicts that 75% of all eCommerce transactions will be made on mobile by 2021. The use of retail apps is leading the mobile charge, with 5.7 billion downloads “ of shopping apps in 2018, which is more than 50% compared to 2015, according to Apptopia. Increased usage has led to a Mobile retail apps are no longer predicted $270 billion of generated revenue in 2019, growing a nice-to-have, they are a critical to $510 billion in 2022, according to eMarketer, of which roughly 70% occurs in app. piece of the puzzle for any national retailer trying to connect However, despite the explosive growth of shopping in apps, there are still retailers who have yet to focus their with its customers and deliver attention on this key touchpoint, thinking that a mobile healthy bottom-line results. -
Alexander Vaos [email protected] - 754.281.9609 - Alexvaos.Com
SENIOR FullStack SOFTWARE ENGINEER Alexander Vaos [email protected] - 754.281.9609 - alexvaos.com PERSONA Portfolio My name is Alexander Vaos and I love changing the world. Resume alexvaos.com/resume I’ve worn nearly ever hat I could put on in the last 18 years. I truly love being a part of something WEBSITE alexvaos.com meaningful. github github.com/kriogenx0 linkedin linkedin.com/pub/alex-vaos I love every part of creating a product: starting from an abstract idea, working through the experience, writing up it’s features, designing it, architecting it, building the front-end and back-end, integrating with stackoverflow stackoverflow.com/users/327934/alex-v other apps, bringing it together, testing, and ending at a physical result that makes a difference in Behance behance.net/kriogenx someone’s life. At an early age, I pursued design and programming, eventually learning some of the other Flickr flickr.com/alexvaos components of a business: marketing, product management, business development, sales. I worked as a part of every company size, from startup to enterprise. I've learned the delicacy of a startup, and how essential ROI can be for the roadmap of any company. I'd like to make an impact and create products people love, use, and can learn things from. I'd like the change the world one step at a time. FULL-TIME POSITIONS 2015-2018 SENIOR FullSTack ENGINEER Medidata Mdsol.com Overseeing 8 codebases, front-end applications and API services. Configured countless new applications from scratch with Rails, Rack, Express (Node), and Roda, using React/Webpack for front-end. -
Asodesk.Com App Store Optimization
Extended analytics and keyword boost campaigns for App Store and Google Play App Store Optimization ASOdesk.com Why is it important to work with ASO for your app? “Search plays a huge role in how users discover apps, with search queries accounting for 65% of downloads from the App Store.” Apple (June 2016) App Store Optimization ASOdesk.com User retention on the 30th day after downloading app is 156% higher with users who utilized the search function to find the app compared to users attracted through advertising channels. Appsflyer (2015) App Store Optimization ASOdesk.com By attracting users through the search function, you solve several business problems: Increase Installs Keyword ranking rises Decrease promo costs More cheap traffic and lower marketing costs Users gained via the search are more loyal to your Improve retention behavior product App Store Optimization ASOdesk.com ASOdesk Mission: to help you successfully reach your business goals Already trusted by App Store Optimization ASOdesk.com How ASOdesk can help you: The most accurate data regarding search request Analytics frequency on the market Keyword Boost Campaigns Easy to launch in just two clicks Visualization of the current situation and regular Monitoring reports via e-mail and Slack App Store Optimization ASOdesk.com Accurate and useful search query data Analytics Data regarding search request frequency is based only on the mobile search function, no web data collection Read our blog to find out why this is highly important: http://blog.asodesk.com App Store Optimization -
Software Engineer Is .Jusiak.Net Kr Is @Jusiak.Net (0) 791-384-1386
Krzysztof (Kris) Jusiak Software Engineer http://kr is .jusiak.net kr is @jusiak.net (0) 791-384-1386 Education 2005 - 2010 Wroclaw University of Technology Wroclaw (Poland) MSc in Computer Science, specialised in Software Engineering (Top grade) Employment 2013 – Present King London (United Kingdom) Game/Software Developer (Mobile) King is a worldwide leader in casual games with more than 30 billion games played per month globally. We are a leading interactive entertainment company for the mobile world. Our mission is to provide highly engaging content to our audience to match their mobile lifestyles: anywhere, anytime, through any platform and on any device. Software Developer in a scrum team responsible for development and releases of mobile games played by millions active daily players. 90% of my job is focused on developing software using C++14 standard for different platforms such as, iOS, Android and Facebook (HTML5 - Emscripten). My core role is to provide high quality features and review/refactor already implemented. I am also involved in recruitment process by being a technical expert on interviews. I have done a lot of improvements to the projects I have been involved in, such as, performance/compile times optimizations, introduction of static analysis tools as well as a replacement of Service Locator pattern by Dependency Injection. • Implementing and releasing multi-platform games played by more than 100 millions active daily players • Reduced time to render the textures by 10% by changing loading files caching mechanism • Implemented an integration test framework which eliminated commonly reoccurring issues 2009 – 2013 Nokia Networks Wroclaw (Poland) Software Engineer Nokia Networks is the world’s specialist in mobile broadband, which helps enable end users to do more than ever before with the world’s most efficient mobile networks, the intelligence to maximize their value and the services to make it all work together. -
Maksym Govorischev
Maksym Govorischev E-mail : [email protected] Skills & Tools Programming and Scripting Languages: Java, Groovy, Scala Programming metodologies: OOP, Functional Programming, Design Patterns, REST Technologies and Frameworks: - Application development: Java SE 8 Spring Framework(Core, MVC, Security, Integration) Java EE 6 JPA/Hibernate - Database development: SQL NoSQL solutions - MongoDB, OrientDB, Cassandra - Frontent development: HTML, CSS (basic) Javascript Frameworks: JQuery, Knockout - Build tools: Gradle Maven Ant - Version Control Systems: Git SVN Project Experience Project: JUL, 2016 - OCT, 2016 Project Role: Senior Developer Description: Project's aim was essentially to create a microservices architecture blueprint, incorporating business agnostic integrations with various third-party Ecommerce, Social, IoT and Machine Learning solutions, orchestrating them into single coherent system and allowing a particular business to quickly build rich online experience with discussions, IoT support and Maksym Govorischev 1 recommendations engine, by just adding business specific services layer on top of accelerator. Participation: Played a Key developer role to implement integration with IoT platform (AWS IoT) and recommendation engine (Prediction IO), by building corresponding integration microservices. Tools: Maven, GitLab, SonarQube, Jenkins, Docker, PostgreSQL, Cassandra, Prediction IO Technologies: Java 8, Scala, Spring Boot, REST, Netflix Zuul, Netflix Eureka, Hystrix Project: Office Space Management Portal DEC, 2015 - FEB, 2016 -
Privacy Concerns in Android Advertising Libraries
RICE UNIVERSITY Privacy Concerns in Android Advertising Libraries by Theodore Book A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree Master of Science Approved, Thesis Committee: Dan S. Wallach, Chair Professor of Computer Science T. S. Eugene Ng Professor of Computer Science Lin Zhong Associate Professor of Electrical and Computer Engineering and Computer Science Houston, Texas November, 2013 ABSTRACT Privacy Concerns in Android Advertising Libraries by Theodore Book This work investigates privacy characteristics of Android advertising libraries. Taking a sample of 114,000 apps, we extract and classify their ad libraries. We then seek to understand how they make use of sensitive user data. First, we study the use of permission-protected Android API calls that provide access to user data. Here, we measure change over time by distinguishing unique versions of each library, dating them, and calculating their permission usage. We find that the use of most permis- sions has increased over the last several years, and that more libraries are able to use permissions that pose particular risks to user privacy and security. Next, we shift to the application side and consider information passed directly from the application to the ad library. We do this by reconstructing the APIs for our libraries, and examining how those APIs are used in our sample of Android applications. We find that many applications pass personal information directly to their ad libraries, without any need for the library to query the operating system directly. This behavior is most com- mon in more popular applications, suggesting that the promise of advertising dollars encourages application developers to violate users' privacy. -
Dissecting Mobile Offerwall Advertisements: an Explorative Study
2020 IEEE 20th International Conference on Software Quality, Reliability and Security (QRS) Dissecting Mobile Offerwall Advertisements: An Explorative Study 1 1 1 1 2 1∗ 3 1 Guosheng Xu , Yangyu Hu , Qian Guo , Ren He ,LiLi , Guoai Xu , Zhihui Han , and Haoyu Wang 1 Beijing University of Posts and Telecommunications, Beijing, China 2Monash University, Australia 3 CNCERT, Beijing, China Abstract—Mobile advertising has become the most popular monetizing way in the Android app ecosystem. Offerwall, as a new form of mobile ads, has been widely adopted by apps, and a number of ad networks have provided such services. Although new to the ecosystem, offerwall ads have been criticized for being aggressive, and the contents disseminated are prone to security issues. However, to date, our community has not proposed any studies to dissect such issues related to offerwall ads. To this end, we present the first work to fill this gap. Specifically, we first develop a robust approach to identify apps that have embedded with offerwall ads. Then, we apply the tool to 10K apps and experimentally discover 312 offerwall apps. We go one step further to characterize them from several aspects, including security issues. Our observation reveals that offerwall ads could indeed be manipulated by hackers to fulfill malicious purposes. Index Terms—Offerwall, Mobile Advertising, Android, Pay-per Install, Malware I. INTRODUCTION Mobile apps have seen widespread adoption in recent years. The number of apps in Google Play has exceeded 2.7 million 濄濕濗濟濕濛濙濍澳濣濦濛澢濫濣濣濘濦濣濝濘澢濕濠濕濦濡濡濬 濃濚濚濙濦濫濕濠濠 澵濘澔濇濘濟濍澳澵濘濫濣 mark as of August 2019 [1]. A recent study [2] suggested that the app monetization scheme evolves during the evolution Fig. -
Mobile Developer's Guide to the Galaxy
Don’t Panic MOBILE DEVELOPER’S GUIDE TO THE GALAXY U PD A TE D & EX TE ND 12th ED EDITION published by: Services and Tools for All Mobile Platforms Enough Software GmbH + Co. KG Sögestrasse 70 28195 Bremen Germany www.enough.de Please send your feedback, questions or sponsorship requests to: [email protected] Follow us on Twitter: @enoughsoftware 12th Edition February 2013 This Developer Guide is licensed under the Creative Commons Some Rights Reserved License. Editors: Marco Tabor (Enough Software) Julian Harty Izabella Balce Art Direction and Design by Andrej Balaz (Enough Software) Mobile Developer’s Guide Contents I Prologue 1 The Galaxy of Mobile: An Introduction 1 Topology: Form Factors and Usage Patterns 2 Star Formation: Creating a Mobile Service 6 The Universe of Mobile Operating Systems 12 About Time and Space 12 Lost in Space 14 Conceptional Design For Mobile 14 Capturing The Idea 16 Designing User Experience 22 Android 22 The Ecosystem 24 Prerequisites 25 Implementation 28 Testing 30 Building 30 Signing 31 Distribution 32 Monetization 34 BlackBerry Java Apps 34 The Ecosystem 35 Prerequisites 36 Implementation 38 Testing 39 Signing 39 Distribution 40 Learn More 42 BlackBerry 10 42 The Ecosystem 43 Development 51 Testing 51 Signing 52 Distribution 54 iOS 54 The Ecosystem 55 Technology Overview 57 Testing & Debugging 59 Learn More 62 Java ME (J2ME) 62 The Ecosystem 63 Prerequisites 64 Implementation 67 Testing 68 Porting 70 Signing 71 Distribution 72 Learn More 4 75 Windows Phone 75 The Ecosystem 76 Implementation 82 Testing -
Erik Lindahl
HPC Software Engineering Erik Lindahl XSEDE/PRACE/RIKEN/SciNet HPC Summer School Ostrava, CZ, 2018 Extra Q & A session: Here (or outside at the tables) 12.45 today! “The application of a systematic, disciplined, quantifiable approach to the development, operation and maintenance of software, and the study of these approaches, that is, the application of engineering to software.” Experiences from 20 years of GROMACS development The GROMACS picture until early 2011 Source code repository: • Simulation hardware project, turned software CVS • Early development based on our own needs • Turned GPL in 2001, LGPL in 2012 Build Chain: • Organic growth of development Automake/Autoconf/libtool • Roughly 10-15 core developers Bug Tracking: • Another 15-20 active contributors Bugzilla • Currently 3,076,420 lines of C++11 code (“C++11”) • Over the years we have used Fortran, C, Assembly Testing: • Lots of old code. Lots of new code. Lots of complicated (read: bad) code written by scientists Software Scientist engineer • Trained in physics, • Trained in CS/software chemistry, etc. • Care about their problem • Care about their code • Care about short-term • Care about long-term deadlines maintenance • New code = asset • New code = liability • Writes more code than • Reads much more code she reads than she writes Without proper software engineering, we are building a technical debt that sooner or later will have to be paid. “Technical Debt is a wonderful metaphor developed by Ward Cunningham to help us think about this problem. In this metaphor, doing things the quick and dirty way sets us up with a technical debt, which is similar to a financial debt. -
ROOT Package Management: “Lazy Install” Approach
ROOT package management: “lazy install” approach Oksana Shadura ROOT Monday meeting Outline ● How we can improve artifact management (“lazy-install”) system for ROOT ● How to organise dependency management for ROOT ● Improvements to ROOT CMake build system ● Use cases for installing artifacts in the same ROOT session Goals ● Familiarize ROOT team with our planned work ● Explain key misunderstandings ● Give a technical overview of root-get ● Explain how root-get and cmake can work in synergy Non Goals We are not planning to replace CMake No change to the default build system of ROOT No duplication of functionality We are planning to “fill empty holes” for CMake General overview Manifest - why we need it? ● Easy to write ● Easy to parse, while CMakeLists.txt is impossible to parse ● Collect information from ROOT’s dependencies + from “builtin dependencies” + OS dependencies + external packages to be plugged in ROOT (to be resolved after using DAG) ● It can be easily exported back as a CMakeLists.txt ● It can have extra data elements [not only what is in CMakeLists.txt, but store extra info] ○ Dependencies description (github links, semantic versioning) ■ url: "ssh://[email protected]/Greeter.git", ■ versions: Version(1,0,0)..<Version(2,0,0) Manifest is a “dump” of status of build system (BS), where root-get is just a helper for BS Manifest - Sample Usage scenarios and benefits of manifest files: LLVM/Clang LLVM use CMake as a LLVMBuild utility that organize LLVM in a hierarchy of manifest files of components to be used by build system llvm-build, that is responsible for loading, verifying, and manipulating the project's component data. -
How to Build a Mobile-Centric Martech Stack the Complete Guide
How to Build a Mobile-Centric MarTech Stack The Complete Guide *Written and edited by AppsFlyer with collaboration from guest authors on chapter 3 (Braze), chapter 4 (Mixpanel) and chapter 5 (mParticle) October 2019 Table of Contents Chapter 1 Chapter 3 Why Do You Need a Marketing Tech Stack? 5 Category Deep Dive: Marketing Automation 25 • Why Do You Need a Marketing Tech Stack? • Building an Integrated Technology Stack for • Foundations: How to Start Building a Mobile Customer Engagement Marketing Tech Stack • Building Brilliant Customer Engagement • Fundamentals: Mobile MarTech Hierarchy of Needs Experiences • Final Thoughts Chapter 2 Category Deep Dive: Mobile Attribution 16 Chapter 4 • Fitting Mobile Attribution into Your MarTech Stack Category Deep Dive: Product Analytics 33 • Top Attribution Use Cases • The Power of Self-Serve Product Analytics • Leave the Data Plumbing to the Plumber • Example #1: Understanding Users with Behavioral Analytics • Example #2: Optimizing Messages and Flows with Cohort Analysis • Example #3: Predictive Analytics for Data Science 2 Table of Contents Chapter 5 Chapter 7 Category Deep Dive: Customer Data Platform 41 Advanced Considerations: • MarTech is More Specialized Than Ever The MarTech Evaluation & Buy-In Process 64 • Real-Time Data Enables Multithreaded Customer • The Anatomy of a Buying Decision Journeys • Conducting a Capability Assessment • Privacy by Design • Don’t Forget Vendors Are Collections of People • Bringing it All Together • The Security & Privacy Review: What to Expect • The Privacy & Security Review: How to Prepare Chapter 6 • Building a Business Case Designing Your Stack for Growth 47 • Concluding Thoughts • Tech Stack Adoption Trends • Strategic Trade-offs: Best-in-Breed vs.