Conference archive


Tuesday, April 19, 2016 - 8:30am to 12:00pm

Use Mobile/IoT Big Data Analytics to Improve Development and Testing

Mobile and IoT software apps generate tons of data and live in a world of social media crowdsourcing. Probably more importantly, back end systems are capturing terabytes of usage data on mobile and IoT applications—data that is ripe for big data analysis. Jon Hagar examines how development and test teams can put this data to work to improve mobile and IoT products and projects. To stay competitive, product teams must find ways to use analytics in a variety of fashions and from varied sources. This hand-on session explores where to find the data you need and examines way to mine and organize the data using concepts such as mind maps, taxonomies, and mathematical filtering statistics. Join Jon to discover real-world data patterns, see how you can use these patterns to optimize the development and testing process, and learn how you can deliver applications that delight users and the business.

Laptop or Tablet Recommended: To take full advantage of this session, participants should bring a laptop or tablet device capable of doing math analysis.

Grand Software Testing

Jon Hagar is a systems software engineer and testing consultant, supporting software product integrity and verification and validation (V&V), with a specialization in mobile and embedded software system testing. For more than thirty years, Jon has worked in software testing and engineering projects. He authored Software Test Attacks to Break Mobile and Embedded Devices; consults, presents, teaches, and writes regularly in many forums on software testing and V&V; and is lead editor/author on committees including OMG UTP model-based test standard, IEEE 1012 V&V plans, and ISO/IEEE/IEC 29119 software test standard. Contact Jon at [email protected].