The National Museum of Computing has trawled the Computer Weekly archives for another selection of articles highlighting significant articles published in the month of June over the past few decades.
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?
As Agile is embraced by development organizations everywhere, the need to produce clean, maintainable software quickly is great. To achieve development agility, developers must maintain velocity, eliminate bug debt, and focus on peer interaction. Read this paper to learn how to automate time consuming development activities to boost productivity.
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.
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.
This article aims at answering the question, "Is parallel programming hard?" You'll take a look at the distinctions between parallel and sequential programming as well as the three main problems programmers face when it comes to parallel programming.
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.
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.