WHITE PAPER:
This paper explores how leveraging data from disparate systems will give software testing teams the unique opportunity to become the hub of organizational quality. Uncover 5 best practices that will help expose critical issues, enable Agile development, create a more holistic view of the software development lifecycle, and more.
WHITE PAPER:
This white paper looks at cloud-computing and software-as-a-service (SaaS) technologies and what you need to know about these emerging trends.
WHITE PAPER:
Access this white paper to learn how software escrow agreements can be a critical tool to help ensure application continuity within your business continuity plan.
WHITE PAPER:
This whitepaper takes a look at service virtualization, and how it can speed application development by replicating unavailable components, and improve quality control with multiple scenario testing.
WHITE PAPER:
This white paper examines why Windows user profiles are so critically important for corporate IT environments and how they can be managed efficiently.
WHITE PAPER:
View this white paper to learn more about what contributes to an effective business analytics buying criteria. It examines the importance of implementing an integrated infrastructure and its relationship to business analytics.
WHITE PAPER:
Read this paper to learn 11 best practice peer code review tips to optimize review sessions, improve code, and make the most of valuable time. Some of the key findings include how many lines of code you should review in an hour, annotating code before you begin reviewing, leveraging a check list system, and more.
WHITE PAPER:
This white paper discusses three delivery models, including the benefits and considerations you must take when choosing the right model for your business.
WHITE PAPER:
In this white paper, unveil a list of characteristics that define trusted software, which is critical to ensuring its quality and reliability as a secure product.
WHITE PAPER:
This thought leadership white paper proposes a combination of requirements-driven, model-driven and test-driven approaches as a mechanism for delivering systems development projects at a reduced cost and risk.
