Remove 2012 Remove Software Engineering Remove Software Review
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5 Steps to Get the (Right) Software Engineering Job on a Top Technical Team

Planio

So you want a software engineering job at Facebook/Apple/Amazon/Google/Netflix? It’s every software engineer’s dream to work with one of the top technical teams in the world. So how do you get a software engineering job at one of these companies? How to build a portfolio site for software engineering jobs.

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Thinking By Sprinting: What Cognitive Science Tells Us About Why Scrum Works

Scrum.org

Software development is (generally speaking) very complex. Why our brain is not built for software engineering. So, answering your mail and writing some code at the same time is going to decrease productiveness. Nevertheless, the motto of software development is often ‘first solve the problem, then write the code’.

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Asana Alternatives

Binfire

4- DaPulse – DaPulse is a relatively new entry to project management software market. It is popular with software engineering teams due to its integration with code repository and versioning apps like GitHub. Citrix acquired Podio in 2012. It also is very light on proper collaboration features.

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Assume a Spherical Cow

Leading Agile

In 2012, I wrote a blog post entitled “Delivering provably-correct code.” ” In it, I suggested several approaches developers could use to gain high confidence that their code would be suitable for release. When I took an interest in this loop, I quickly ran afoul of academics. Steadfastly Missing the Point.

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Defensive Programming Grows Up

Leading Agile

Defensive programming consists of learning and using guidelines for software design and coding that tend to minimize the frequency and severity of problems in production. The day came when the software community more-or-less forgot about defensive programming. The Age of the Mainframe. And sleep, too. The Age of the Webapp.

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Reading List for the Cone of Uncertainty

Herding Cats

The primary purpose of software estimation is not to predict a project’s outcome; it is to determine whether a project’s targets are realistic enough to allow the project to be controlled to meet them ? This variation can be explained by the fact that initial concepts do not describe the final software system accurate enough.

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Implications of Artificial Intelligence on Project Management

The IIL Blog

AI is a branch of computer science that focuses on providing computer hardware and software with the ability to execute intelligent tasks with Generative AI (GenAI) learning and improving with each query. For over a quarter of a century, the Standish Group has tracked, reported, and improved software-intensive project success rates. [1]