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What is code coverage, how can you measure it, and what are the pitfalls of this metric? Diomidis Spinellis talks with Marc Hoffmann, a key developer of the JaCoCo code coverage library for Java, on how code test coverage can improve software reliability
Bill Venners speaks to Matthew Farwell about Property Based Tests, how they can be used, when they should not be used. We also cover how to define a property, how to generate the data required for a property based test.
Péter Budai and Kim Carter discuss End to End Encryption (E2EE), backdoors, the scenarios where E2EE can be and should be used. IM, VoIP, Email scenarios, interservice communication scenarios such as securing data in use.
Kishore Bhatia discusses with Nate Taggart about Serverless. Topics include: understanding the motivations for this computing model, deep dive learning about Serverless architecture, development frameworks and tools. Learn from Nate's experience with Serverless paradigm developing Operations tools at Stackery and find out various approaches, challenges and best practices for architecting and building Serverless applications.
Edaena Salinas talks with Nicole Hubbard at KubeCon 2017. They discuss why WP engine is migrating from VMs to Kubernetes and how the migration is structured. Nicole explained the VM infrastructure at WP Engine and why there was a need to move...
Felienne interviews Veronika Cheplygina about image recognition. We cover the basic concepts of computer vision, its applications and relationship to machine learning.
Kishore Bhatia talks with Travis Kimmel about Engineering Impact: In the age of data-driven decision making, how does one go about measuring, communicating, and improving engineering productivity? We'll learn from Travis' experience building data analytics tools in this space, with insights and best practices for engineering teams and business stakeholders for measuring value and productivity.
Nate Black talks with Nicolai Parlog about Java 9. Topics include: a timeline of Java features; new patterns enabled by Java 8 lambdas, default interface implementations and how they enable code evolution; how Java 9 takes this further with private default methods; an introduction to Java modules: the Java Platform Module System (JPMS); "launch time" dependency validation; module "requires" and "exports": documentation as code and a new topic for code reviews; how to migrate an existing codebase to Java 9 and modules; benefits of Java modules: reliable configuration and a smaller Java runtime; the new Java release schedule.
Felienne interviews Jeroen Janssens about data science, examining the basic concepts, as well as the skills and tools needed to be(come) a data scientist.
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