InfoQ Homepage Code Quality Content on InfoQ
-
Writing Usable APIs in Practice
Giovanni Asproni expands upon the idea that usable APIs help writing clean code.
-
Legacy Code: Using Domain-Driven Design to Carve Out Areas of Sanity
Robert Reppel discusses applying DDD and SOLID techniques in order to improve legacy code, exemplifying with real code.
-
The FT Web App: Coding Responsively
Rob Shilston discusses the need for coding responsively, not just designing responsively, along with the development process in place at Financial Times.
-
3 Patterns for Cleaner Code
Cory Maksymchuk introduces 3 patterns for writing cleaner code: Predicates, Classifiers, and Transformer.
-
Software for Your Head
Jim McCarthy makes a passionate call for developers to rise up to their call and make their software great, sharing their light with the entire world.
-
Entirely Predictable Failures
Poul-Henning Kamp considers that if developers are not getting better, we are going to repeat many of the major IT project failures. He exemplifies with major Denmark project failures.
-
Beauty is in The Eye of the Beholder
Alex Papadimoulis attempts to define ugly code, how one can recognize it, providing advice on avoiding writing such code and refactoring old code to get rid of it.
-
Building Rich User Experiences without JavaScript Spaghetti
Jared Faris provides 3 principles –decouple everything, make it testable, push events not state – and some patterns which help avoiding creating JavaScript spaghetti code over time.
-
Stop Refactoring!
Nat Pryce considers that we cannot write the perfect code because it is never fully prepared for the coming change, so he suggests embracing impermanence & continual imperfection.
-
Evident Code, at Scale
Stuart Halloway shares advice on creating evident code that scales. Evident code is software that clearly expresses its meaning and purpose.
-
Effective Use of FindBugs in Large Software Development Efforts
William Pugh explains how to use FindBugs, a Java static code analysis tool, to discover bugs. The talk covers general issues regarding code bugs with advice on how to make sure you get rid of them.
-
Software Quality - You Know It When You See It
Erik Dörnenburg shares techniques for estimating code quality by collecting and analyzing data using the toxicity chart, metrics tree maps, size&complexity pyramid, complexity view, code city, etc.