EGUIDE:
Businesses in every industry are finding themselves under pressure to out-innovate their competitors, and push out new products and services to customers at an ever-increasing rate.
EZINE:
In this handbook, focused on tech careers for women in the Asia-Pacific region, Computer Weekly looks at what can be done to attract more women into software development.
WHITE PAPER:
Software development teams are always looking for an edge to produce features more quickly while retaining a high level of software quality. This document describes best practices for uniting both automated and manual test efforts to improve your software releases and obtain the highest quality releases in the shortest amount of time.
WHITE PAPER:
Automated testing will shorten your development cycles, avoid cumbersome repetitive tasks and help improve software quality but how do you get started? The best practices discussed in this white paper help ensure results and a successful foundation for improving your software quality.
EZINE:
In this week's Computer Weekly, we talk to the man tasked with bringing public services into the digital age. The second installment of our Buyer's Guide to business intelligence reviews two low-cost alternatives to the big suppliers; and we go behind the scenes of the IT preparations for the London 2012 Olympic Games.
TECHNICAL ARTICLE:
It's amazing how many books on parallel computing use the term parellelism without clearly defining it. In this technical article, Charles Leiserson, Professor of Computer Science and Engineering at MIT, provides a brief introduction to this theory.
EGUIDE:
This expert e-guide from SearchSecurity.com sheds light on how fostering harmony between security and software development teams can ensure application protection early on.
EGUIDE:
The Computer Weekly Developer Network is in the engine room, covered in grease and looking for Artificial Intelligence (AI) tools for software application developers to use. With so much AI power in development and so many new neural network brains to build for our applications, how should programmers 'kit out' their AI toolbox?
