There have never been more ways to connect with customers—and it’s never been more challenging.
That’s why forward-thinking companies are integrating data across channels. And they’re doing it
now... Page 12
Outsourcing Software Projects, Project Management Process, Testing and QA Fundamentals, Software Project Teams, Project Tracking, Software Quality Management
Extreme Programming (XP), Traditional Models (RUP, V-Model, CMMI, Waterfall), Agile, Software Development Fundamentals, Scrum, TDD and MDD
Software Requirements Use Cases, Software Requirements Techniques, Software Requirements Tools, Building security into the SDLC
Security Testing, Software Security Testing Tools, Internet Security, Penetration Testing
Automated Software Testing, Software Testing Methodologies, Regression Testing, User Acceptance Testing, Mobile Testing, Software Test Design, Cloud Application Testing, Testing Tools and Frameworks, Exploratory Testing, Cloud Computing Testing and Development, Software Performance Testing, Functional Software Testing
Performance Management, Software Requirements Management, Deployment Management, Software Maintenance Process, Version Control, Configuration and Change Management, Business and ROI Analysis, ALM Tools, SLA Management, ALM Fundamentals, Cloud ALM
Go to the Software Project Managment Info Center info center
Go to the Software Quality Management Info Center info center
Go to the ALM Info Center info center
Go to the Application Lifecycle Management Info Center info center
Go to the Agile Development info center
Go to the Application Performance Management info center
Go to the New Relic Info Center info center
Go to the SafeNet Info Center info center
Go to the Stress, Load and Software Performance Testing info center
Go to the Software Load, Stress and Performance Testing Topic Takeover info center
Tom Nolle explains how developers and architects can navigate the bewildering world of middleware tools and create harmony between middleware and emerging applications.
In this article, mobile expert Matthew David walks developers through some of the most effective ways to connect to JSON APIs in an Android-based project.
Model-driven development has been around a long time, but in today's complicated app world, it may be time to give this methodology another look. Expert Tom Nolle explains.
The software development world is simply too busy to have inefficient ALM. Expert Gerie Owen reimagines app lifecycle management as something streamlined and totally painless.
Using an offshore team can save time and money, but if used ineffectively, they can cost more than they save. Here are five tips on how to use offshore development teams effectively.
Turning a wave of information into something meaningful can be challenging. But that's where deep machine learning can help. Here, expert George Lawton explains how.
In terms of a consumer-facing website, how do developers distinguish between front-end development and back-end tasks?
Cloud vendors are making it easier for IT and business people to collaborate on an infrastructure strategy.
Alva Powell, CTO at The Center for Autism and Related Disorders, discusses which Microsoft tools his organization uses for DevOps.
OAUG president Patricia Dues talks about the technology that has the OAUG's attention and why it's important to learn about the cloud even if you aren't planning to use it.
Moving to Oracle Fusion Financials has been a mixed blessing for the Evangelical Christian Credit Union. It saved money, but had to sacrifice integration and automation.
The latest version of Oracle Enterprise Manager is designed to make life easier for DBAs working in the cloud. Oracle Enterprise Manager 13c has new features for the cloud.
Big data services are an attractive cloud lure for enterprises. AWS, Azure and Google are fighting for number one, but who will come out on top?
New Google security certifications are welcome, if belated, additions to the cloud platform, providing assurances to enterprise customers about protecting their data.
Before working with multiple cloud providers, evaluate their services for compute, storage, security and more.
Organizations with big data environments are turning to SQL-on-Hadoop software to speed up analytical queries and data integration jobs -- and eliminate the need to program in MapReduce.
When assessing the reality behind today's AI technology, businesses need to think about how it can perform in specific tasks rather than hoping for a do-it-all tool.
When it comes to building a data science team, businesses should expect to find workers from a variety of backgrounds rather than holding out for a unicorn.
Ontegrity turns knowledge gained through years of onsite HVAC maintenance into a prescriptive analytics system built in-house that prescribes repairs before failures occur.
Running one database per server needlessly wastes hardware resources and money. Use a SQL Server container to stack multiple instances per virtual machine.
Legacy storage technology wasn't designed to support multiple virtualized applications competing for simultaneous I/O. Tintri's Dan Florea explains how to get from mess to mesh.