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  • Christine Doig on Data Science as a Team Discipline

    by Srini Penchikala on  Aug 26, 2016

    Christine Doig spoke at this year's OSCON Conference about data science as a team discipline and how to navigate the data science Python ecosystem. InfoQ spoke with Christine about challenges data science teams need to address to be more effective.

  • Q&A with Diomidis Spinellis on Effective Debugging

    by Ben Linders on  Aug 24, 2016

    The book Effective Debugging by Diomidis Spinellis describes 66 different approaches for effective debugging of applications and systems. It provides methods, strategies, techniques, and tools for finding and removing faults, and gives examples for using them in different settings.

  • So, How Do You Make Agile Successful?

    by Chen Ping on  Aug 21, 2016 13

    It is not Agile's fault, it is your fault - Are you fed up with such statements? This article tries to provide a more constructive answer on how to make Agile successful. It first shows how Scrum can be harmful, then argues how Agile requires different skills on both product and delivery levels. It suggests to use CICD to counteract Scrum's traps and stresses the importance of systems thinking.

The InfoQ Podcast: John Langford on Vowpal Wabbit, Used by MSN, and Machine Learning in Industry

Posted by Wesley Reisz on  Aug 19, 2016

Machine learning research scientist John Langford talks to Wesley Reisz about his ML system Vowpal Rabbit, used for news personalisation on MSN.

Creating RESTful Services with T4 Based on Model and Interfaces

Posted by Amel Musić on  Aug 19, 2016

Amel Musić demonstrates how T4 can be used to create a flexible code generator that reduces the amount of time and effort it takes to create RESTful services.

Respect Your Organisational Monoliths

Posted by Margo Cronin on  Aug 18, 2016

There is a lot of information about DevOp out there but little on tackling DevOps in financial organisations. This article presents lessons learnt rolling out DevOps in a large insurance organization.

How Startups Get Software Built

Posted by Yousef Awad on  Aug 17, 2016

For most startups, software is the bridge between a consumer’s pain puddle and a startup’s revenue stream. How do startups build software ? Fail, pivot, fail, pivot, repeat forever (and fast!).

JUnit 5 - An Early Test Drive - Part 2

Posted by Nicolai Parlog on  Aug 15, 2016

JUnit 5 is coming! In part 1 of our JUnit 5 coverage we wrote some preliminary tests. In part 2, we take a closer look at how to run tests, and some of the cool features JUnit 5 brings to the table. 6

Waterfall Requirements in Agile Product Development

Posted by Gene Gendel on  Aug 11, 2016

Iterative development requires gradual flow of small-sized, prioritized requirements from end customers to delivery teams. The use of all-conclusive, rigid, non-negotiable BRDs leads to dysfunction.

Starcounter vs. ORM and DDD

Posted by Kostiantyn Cherniavskyi on  Aug 10, 2016

Kostiantyn Cherniavskyi looks at some of the issues surrounding the object-relation impedance mismatch and how many of them can be solved with hybrid databases such as Starcounter. 5

Author Q&A: Decoding Silicon Valley

Posted by Shane Hastie on  Aug 06, 2016

Jon Baer & Michelle Messina have written a book exploring the secrets to success in Silicon Valley - what it takes for a startup to succeed. They look at culture, history, stories and successes.

F# in Numbers: A Look at the Annual F# Survey Results

Posted by Tomas Petricek on  Aug 05, 2016

In April, for the second time, fsharpWorks organized the F# community survey. Over 600 developers completed the survey in 2016. The survey provides an insight into the brains of the F# community. 1

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