EGUIDE:
The buzz and hype surrounding container technologies has reached fever pitch in recent years, prompting CIOs and IT decision makers to mull over what role, if any, they should and could play in their digital transformation plans.
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.
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.
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.
WHITE PAPER:
This white paper illustrates how proven methodologies and best-of-breed tools, such as Rational DOORS, Rational Rhapsody, Rational Team Concert, and Rational Quality Manager, can help you design high-quality products that meet customer requirements.
SOFTWARE DOWNLOAD:
IT Problem: JIRA provides issue tracking and project tracking for software development teams to improve code quality and the speed of development. Combining a clean interface for organising issues with customisable workflows, JIRA is the perfect fit for your team.
WHITE PAPER:
The content in the planning and architecture guides IT Pros in the development of conceptual, logical, and physical designs for configuring Microsoft SharePoint Server 2010 features, servers, and topologies.
WHITE PAPER:
Read this white paper for an examination of a new software development language and technology called SequenceL, as well as a description of how it works, why there is a need for it and how well it performs in parallel environments.
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?
