Smart Solutions 7: Predictive analysis with Time Series, and intro to R for C/AL developers

Time Series is a topic on its own in machine learning, as it is one of the cleanest examples of predicting the future. All you need is a dataset that contains a date and a number. Time Series then uses this to predicting values for future periods.

Bron : Dynamics NAV Team Blog
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AL Code Analysis Rules (Diagnostic Descriptors) – Updated

You might remember my post about the Code Analyzers Diagnostic Descriptors when it first came out. I’m very happy with this tool, as it avoids many mistakes, and it enforces some level of clean coding – which is never a bad thing ;-).

Recently, the June update of the AL Language Extension was announced. I was sitting at a swimming pool in Bangkok – so what do you think I did? Exactly:

Bron : Waldo’s Blog
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Enable the updated Code Analysis for AL

Some time ago, I wrote a blogpost on how to enable code analysis for AL development. At that point, it was an undocumented feature – not to say, it was an unfinished feature that you could already enable. Since the developer preview March update, it is officially here, and things have somewhat changed – no, not changed, improved! :-).

Bron : Waldo’s Blog
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Microsoft Dynamics NAV Source Code Analysis – Triggers & Procedures

On my last blogpost on Source Code Analysis (which focused on the LineCount), I got the remark whether it would be interesting to drill into “statements”. I didn’t really know what he meant with it – but it made me think and drill down into the usage of the procedures.

Bron : Waldo’s Blog
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Microsoft Dynamics NAV Source Code Analysis – LineCount

Recently, I came across this nice graph: http://www.informationisbeautiful.net/visualizations/million-lines-of-code/ . Pretty cool to see the comparison. But – obviously – the next question for us Microsoft Dynamics NAV developers is:

How many lines of code does Microsoft Dynamics NAV contain?

Bron : Waldo’s Blog
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