Java and Software Quality in the Summer 2011 issue of Methods & Tools

Methods & Tools – the free e-magazine for software developers, testers and project managers – has just published its Summer 2011 issue with the following articles:
* Continuous Delivery Using Build Pipelines With Jenkins and Ant
* Everything You Always Wanted to Know About Software Measurement
* The Art of Mocking
* Restructure101 for Java  – Refactor Your Software Architecture
* Maven – Java Build Management
* Automated WebTesting with Selenium RC
* Liquibase – Open Source Dababase Version Control

55 pages of software development knowledge that you can download from http://www.methodsandtools.com/mt/download.php?summer11

Java in the Cloud

Cloud computing is certainly a trendy topic in software development today. The following article presents the Cloudbees offer that allows to develop and run Java applications in the Cloud.

Agile, Project Management and Software Testing in Spring 2011 Issue of Methods & Tools

Methods & Tools – the free magazine for software developers, testers and project managers – has just published its Spring 2011 PDF issue with the following articles:
* Automated Acceptance Tests and Requirements Traceability
* Managing Schedule Flaws using Agile Methods
* User-Centric Design and the Power of Personas
* Complexity Theory for Software Developers
* Build Patterns to Boost your Continuous Integration
* GivWenZen – Behavior Driven Development for FitNesse
* Celoxis – Web Based Project Management
* Tellurium Automated Testing Framework
* Apache CXF
* RSpec Best Practices
* Maven Plugins

Download 80 pages of software development knowledge

Bromine – Test Management for Selenium

Bromine is an open source functional web test automation tool.

http://www.methodsandtools.com/tools/tools.php?bromine

NoSQL Databases Compared: Amazon’s SDB, Mongoid, CouchDB and RavenDB

The video NoSQL Stars: Amazon’s SDB vs Mongoid vs CouchDB vs RavenDB discusses the target audiences and differences in NoSQL databases and what this NoSQL thing is all about. It discusses how SQL has limits when you get to web-scale and how NoSQL bypasses these limits.