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The Ten Commandments of Egoless Programming. Commercial Smart Bear Collaborator Code Reviews & Code Analysis - Collaborator. State%20of%20Code%20Review%20eBook%20by%20SmartBear%20%281%29. Software Best Kept Secrets of Code Review Book. Code Collaboration on the Fly. Commercial Atlasssian Crucible Peer Code Review Tool. Critic/documentation/concepts.txt at master · jensl/critic. What Compsci textbooks don't tell you: Real world code sucks [printer-friendly] Bodged code, strapped-on patches, beellion dollar screw-ups... and that's the good stuff There’s a kind of cognitive dissonance in most people who’ve moved from the academic study of computer science to a job as a real-world software developer.

What Compsci textbooks don't tell you: Real world code sucks [printer-friendly]

The conflict lies in the fact that, whereas nearly every sample program in every textbook is a perfect and well-thought-out specimen, virtually no software out in the wild is, and this is rarely acknowledged. To be precise: a tremendous amount of source code written for real applications is not merely less perfect than the simple examples seen in school — it’s outright terrible by any number of measures. Due to bad design, sloppy or opaque coding practices, non-scalability, and layers of ugly “temporary” patches, it’s often difficult to maintain, harder still to modify or upgrade, painful or impossible for a new person joining the dev team to understand, or (a different kind of problem) slow and inefficient. 11 proven practices for more effective, efficient peer code review. Our team at SmartBear Software® has spent years researching existing code review studies and collecting "lessons learned" from more than 6000 programmers at more than 100 companies.

11 proven practices for more effective, efficient peer code review

Clearly, people find bugs when they review code, but the reviews often take too long to be practical. Review Board « ChipLog. Reviewing code can suck The open source world has given developers great tools to make their lives easier.

Review Board « ChipLog

We have editors, bug trackers, source code management tools, repository viewers. Bugzilla, for example, is a very popular bug tracker used by many open source projects and companies alike. Automated code reviews with Checkstyle, Part 1. Code reviews are essential to code quality, but no team wants to review tens of thousands of lines of code, or should have to. In this two-part article, ShriKant Vashishtha and Abhishek Gupta show you how to overcome the challenges associated with code reviews by automating them. Find out why Checkstyle is one of the most popular tools used for code review automation, then learn how to quickly enhance its built-in rules with custom ones just for your project. Level: Intermediate If you've worked on a large-scale project you know first-hand the value of an automated code review.

Really big projects require the input of hundreds of programmers, often geographically dispersed and with great differences in skill level. In many cases, a QA team is assigned to review this code manually, based on coding standards used as guidelines for development. Automated code reviews with Checkstyle, Part 2. 11 Open Source Programming Tools on the Rise CIO.

Gerrit - Gerrit Code Review. Project Information ekem...

gerrit - Gerrit Code Review

@google.com, david.pu... @sonymobile.com, mf... @codeaurora.org, sasa.ziv... @sap.com, spea... Who's Your Coding Buddy? I am continually amazed how much better my code becomes after I've had a peer look at it.

Who's Your Coding Buddy?

I don't mean a formal review in a meeting room, or making my code open to anonymous public scrutiny on the internet, or some kind of onerous pair programming regime. Just one brief attempt at explaining and showing my code to a fellow programmer -- that's usually all it takes. This is, of course, nothing new. My love affair with code reviews. One of the most life-altering events in my move from academia to industry was the discovery of code reviews.

My love affair with code reviews

This is pretty standard fare for developers in the "real world", but I have never heard of an academic research group using them, and had never done code reviews myself before joining Google. In short: Code reviews are awesome. Everyone should use them. Heck, my dog should use them. You should too. For those of you not in the academic research community, you have to understand that academics are terrible programmers. Then I came to Google.

Rietveld tool

Alex Martelli at OSCON: Google's Über Tech Lead On Code Revi. The ugly underbelly of coder culture. By now, it should surprise no one to hear that software development is a bit of a boys' club.

The ugly underbelly of coder culture

We've all read editorials bemoaning the lack of women in tech. The easy explanation is that programming appeals more to a male mind-set. But while it's easy, it's also cheap. Things aren't nearly so simple. [ Find out which 10 experimental languages could shake up IT, learn which 11 programming trends are on the rise, verse yourself in the 12 programming mistakes to avoid, and test your programming smarts with our programming IQ test: Round 1 and Round 2. | Master the latest in Java development with our JavaWorld Enterprise Java newsletter. ] Some say the problem is our education system.

Others say companies should provide the encouragement. That's admirable, but it falls short of addressing the real problem, which is that software development isn't just failing to attract women. No girls allowed There are women who have a genuine passion for programming to rival any man. The Hick-Hyman Law: An Argument Against Complexity in User Interface Design. There is often a temptation to provide users with a number of options all at once, but research suggests that the number of possible selections can slow users down.

The Hick-Hyman Law: An Argument Against Complexity in User Interface Design

This problem was identified by British Psychologists William Hick and Ray Hyman in 1951, after carrying out a series of experiments to assess cognitive information capacity. The Hick-Hyman Law has been applied in human-computer interaction to highlight the importance of reducing the number of possible choices presented to users at any one time. It suggests there is a linear relationship between the number of options presented and subsequent choice reaction times. So selection speed would be slower with every extra item. Although established long before the first graphical user interface (GUI) was produced, Hick's law has been applied to the design of websites and other types of UIs.

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