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How to Make the Most of Code Analysis?

Posted by Patrick Smacchia  on  Jun 09, 2014

Patrick Smacchia shares code analysis-related practices -structuring code, measuring code quality, automated tests, code contracts, reporting progress, trending- based on his experience with NDepend.

Pontificating Quantification

Posted by Daniel Spiewak and Aaron Bedra  on  Nov 29, 2012 4

Daniel Spiewak and Aaron Bedra take a look at code verifying starting with Tony Hoare’s paper on testing(1969), type theory, and language-integrated proof systems.

Effective Use of FindBugs in Large Software Development Efforts

Posted by Bill Pugh  on  Mar 28, 2012 2

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

Posted by Erik Dörnenburg  on  Mar 21, 2012

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.

Software Naturalism - Embracing the Real Behind the Ideal

Posted by Michael Feathers  on  Feb 17, 2012 5

Michael Feathers analyzes real code bases concluding that code is not nearly as beautiful as designers aspire to, discussing the everyday decisions that alter the code bit by bit.

Stop the Software Architecture Erosion

Posted by Bernhard Merkle  on  Sep 16, 2011

Bernhard Merkle advices on preventing architectural degradation of a project by using tools for constant monitoring of the code, exemplifying with an analysis of Ant, Findbugs and Eclipse.

Software Quality – You Know It when You See It

Posted by Erik Dörnenburg  on  Aug 30, 2011 1

Erik Dörnenburg explains how to use various visualization tools to spot patterns, trends and outliers in the code that are an indication of code quality level.

A Crash Course in Modern Hardware

Posted by Cliff Click  on  Jan 12, 2010 17

In this presentation from the JVM Languages Summit 2009, Cliff Click discusses the Von Neumann architecture, CISC vs RISC, the rise of multicore, Instruction-Level Parallelism (ILP), pipelining, out-of-order dispatch, static vs dynamic ILP, performance impact of cache misses, memory performance, memory vs CPU caching, examples of memory/CPU cache interaction, and tips for improving performance.

Controlling Your Architecture

Posted by Magnus Robertsson  on  Oct 22, 2009 3

Magnus Robertsson shows how to control the code architecture manually, statically and dynamically in order to avoid an architectural drift leading to a big-ball-of-mud. For that, he recommends ways to enforce the reference architecture through peer review, code analysis, and zero tolerance to warnings and errors.

JRuby: The Pain of Bringing an Off-Platform Dynamic Language to the JVM

Posted by Charles Nutter  on  Jan 07, 2009 3

In this presentation from the JVM Languages Summit 2008, Charles Nutter discusses bringing JRuby to the JVM, why Ruby is hard to implement, JIT compilation, precompilation, core Ruby implementation, Java library method access, method call semantics, scopes, open classes, heap-based frames, library challenges, strings, regexps, I/O, green threads, POSIX features, C lib support and future plans.


Posted by Reginald Braihwaite  on  Dec 04, 2008 4

In this RubyFringe talk, Reginald Braithwaite shows how to write Ruby that reads, writes, and rewrites Ruby. The demos include extending the Ruby language with conditional expressions, new forms of evaluation such as call-by-name and call-by-need, and more.

Fast Bytecodes for Funny Languages

Posted by Cliff Click  on  Dec 02, 2008

In this presentation from the JVM Languages Summit 2008, Cliff Click discusses how to optimize generated bytecode for running on the JVM. Click analyzes and reports on Java, Scala, Clojure, JRuby, JPC and JavaScript/Rhino and points out several places where each of them could increase their performance such as elimination of FixNums, escape analysis and best practices for testing bytecode.

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