Tag: IEEE Computer Society
Episode 428: Matt Lacey on Mobile App Usability
Matt Lacey, author of the Usability Matters book discusses what mobile app usability is and why it can make or break an app destined for consumers, business users or in-house users. Host Gavin Henry spoke with Lacey about the “Six components of great App experiences”, “Things every app should do”, native apps, password managers, accessibility, […]
Episode 427: Sven Schleier and Jeroen Willemsen on Mobile Application Security
Sven Schleier and Jeroen Willemsen from the OWASP Mobile Application Security Verification Standard (MASVS) and Testing Guide (MSTG) project discuss mobile application security and how the verification standard and testing guide can be used to improve your app’s security. Host Justin Beyer spoke with Schleier and Willemsen on webviews, certificate pinning, anti-reverse engineering technology, and […]
Episode 426: Philip Kiely on Writing for Software Developers
Philip Kiely discusses his recently published book, Writing for Software Developers. While software development primarily involves writing code, strong written communication skills are critical for multiple tasks. SE Radio’s Jeff Doolittle first asked Kiely why software engineers should care about writing things other than code. The conversation then moved toward the elements of effective technical […]
Episode 425: Paul Smith on The Crystal Programming Language and the Lucky Web Framework
Paul Smith of GitHub discusses the crystal programming language and the lucky web framework with Jeremy Jung. They cover the tradeoffs of object oriented vs functional programming; creating and debugging macros; detecting nulls; building a web framework with strict compile time guarantees; conversational elm-like error messages; the benefits of fast rendering times; writing templates with […]
Episode 424: Sean Knapp on Dataflow Pipeline Automation
Sean Knapp, CEO of Ascend.io, discusses data pipelines and data pipeline automation. Sean spoke with Host Robert Blumen about the ubiquity of data pipelines; what data pipelines do; where the data comes from, how it is transformed, where it goes; and what it is used for (analytics, machine learning, reporting, alerting, business intelligence). Semi-automated and […]
