EGUIDE:
This e-guide examines organizational and team challenges of implementing the agile process. This e-guide also will detail how to scale agile software development to large organizations by scaling agile practices and agile work; how to transition small and large development teams to Scrum; and more.
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.
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.
WHITE PAPER:
Access now for the 5 major reasons test and QA need application performance diagnostics in order to keep up with the demand for quicker software delivery.
sponsored by CipherSoft, Inc., A subsidiary of Unify Corp.
EBOOK:
Since Forms technology is widely in use in many Oracle environments, it's critical that developers and IT professionals understand Oracle's short and long term plans that could affect their strategies. Read more about the key trends that may affect how your organization uses Oracle Forms, a component of Oracle Fusion Middleware.
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?
