Code Recommenders 2.2: Intelligent Constructor and Subtype completion for Eclipse Mars

Every year, the Eclipse community works in concert for the annual “release train”. And just like in previous years, the train arrived right on time. Since June 24th, Eclipse Mars is out – and with it Code Recommenders 2.2.0.

What’s New?

Code Recommenders 2.2 includes not one, but two new code completion engines: constructor completion and subtypes completion. Together, the two completion engines address one of the more annoying quirks of content assist in Eclipse: The looong list of irrelevant constructor proposals you get whenever you want to create a new instance of that type. Let’s look at them in detail.

Imagine: You deliver broken software but no one tells you…

Automated Error Reporting and UI Freeze Detection for Eclipse Mars Milestones

Christmas is just around the corner. Besides being a contemplative time, this is also an unmistakable sign that the Eclipse community is already halfway there on its journey towards the next annual simultaneous release. As in the years before, there will (likely) be more than 70 participating projects, with more than 700 people contributing more than 60 million lines of code. And somewhere, hidden within these 60 million lines, there will be bugs. Unavoidably.

Perspective switch: Imagine it’s June and you’ve just downloaded the latest annual Eclipse release. You are curious about all the new features that have been implemented in the last year and maybe it even feels a bit like unwrapping a Christmas present in June. But as you start working with it, you notice that some things do not always work as expected. Nothing severe yet, but it starts getting annoying. Then you open the error log and see that slowly, but steadily, it starts to fill up...

Codetrails Announces Seed Investment by High-Tech Gründerfonds

Big Data Makes Life Easier for Software Developers

Software systems not only pervade more and more industries, but they are also growing more and more complex. But regardless of whether software developers have to understand yesterday’s legacy systems or tomorrow’s hot technologies, one question is always the same: How do I tell the machine what to do? Using Big Data, the young company Codetrails GmbH answers this question for Java developers. High-Tech Gründerfonds funds the spin-off of TU Darmstadt to further Codetrails’ capabilities of automated knowledge transfer and bug detection.

Codetrails meets with Hessian Minister of Economics Tarek Al-Wazir

During a visit of Tarek Al-Wazir at Technische Universität Darmstadt (Darmstadt University of Technology), Codetrails had the opportunity to demonstrate to the Hessian Deputy Minister-President and Minister of Economics, Energy, Transportation and Regional Development why we think that “programming is predictable” and how this fact can boost a software-development team’s efficiency.