Applying programming language research ideas to transform spreadsheets

Add a reference to Microsoft.Office.Interop.Excel, and get a handle on the Excel Application object using ExcelDna.Integration.ExcelDnaUtil.Application.

Alternatively you can use the excellent NetOffice.Excel (instead of Office.Interop.Excel), which will have less functionalities but with better version support.

On the “we have programmers for that”, I see another culprit appearing: IT security, who decided unilaterally that everone else in the 100k people organisation only needs Office and are trying to impose security solutions based on that assumption. That includes application whitelisting, or automatically encrypting all office documents (as a result non office programs can’t consume spreadsheets anymore), etc.

I hope it was long time ago. That's the most idiotic policy I've ever heard. :-)

EDIT: Let me explain my thinking a bit more - we can try to categorize software development into two categories:

1. People write messy, unorganized code that is often in the head of just one or a few folks, who are smart but unorganized and often without formal CS training. The code often has almost no tests and doesn't follow any of the standard best practices of software engineering. The code is often impossible to pass down to new people, often ending up forcing the new people to redo a large fraction of the work.

2. People write clean, modular, testable code with good unit and integration tests, a robust build framework, etc. The code is written in a manner thats super easily transferable, most devs don't even have to understand the entire codebase to start meaningfully contributing.

Obviously, the second category is the preferred category. A good SDE with a CS bg should follow (and often do follow) the second method. However, category 2 could, at least from my experience, be split into two sub-categories:

2A. The framework for both the code and the dev ecosystem was laid down by (often just one) really good engineers who think through what the problem really is and make sure that the fundamental structure and architecture of the codebase works towards solving that real world problem. This kind of code is absolute pleasure to work with and extend.

2B. The framework and the majority of the code are written by average engineers; often the first few eng hires in the company put the groundwork and make poor design choices and the engineering team that follows never wants to change anything fundamental because that's "tech debt" which the company can never afford to take a step back and look at. The average engineers have a good heart, but often their test cases never test real-world edge cases, they often don't even remember the architecture of the code they themselves wrote a few months back, and the code breaks all the time. Furthermore, the engineers would generally balk at adding any new feature because the codebase is fundamentally evolved into something that just cannot be extended without significant rework, and often they cant even see how they can rework it to add the required feature. In the end, good SDE practices and testing doesn't do shit if the person who wrote it didn't think hard enough.

Here again, 2A is the preferred method of doing dev, but unfortunately, the thoughtful smart SDEs aren't that many, and would often be found in a well-paid job in a big company. Most regular devs can't step up to that level and the end result is 2B happens.

Now the question is, which is the better of the two evils, if they are the only choices? 1 or 2B? I'd choose 1. My experience has been that while the scrappy code is unmaintenable by anyone new, at the least the guys who wrote it (assuming you can keep them long enough) will at least own up to it and make sure it keeps running, and they can at least try (and practically, generally succeed) to ship a new feature as opposed to the 2B case where often the categorical answer would be no.

This is a very predictable outcome when a requirements doc is tossed over the wall followed by patient waiting for the output.

Again, it happens all the time so maybe this advice isn't enough or practical or something, but there is a well recognized solution and I would wonder whether it was done in this project.

The people saying Devs dont do enough effort to understand the domain are the same people who try to keep the "domain" overly complicated to justify their jobs/positions

curious. can you elaborate?