Related Content
 |
Before Data Analysis, You Need Data Preparation One of the prerequisites for any type of analytics in data science is data preparation. Raw data usually has several shortcomings in structure, format, and consistency, so first it has to be converted to a usable form. These are some types of data preparation you can conduct to make your data useful for analysis. |
|
 |
2 Ways to Standardize QA Practices Testing can get complicated when each project is using a completely different toolset, language, and reporting status, with different measurements and formats. Testing is a reaction to context and what we encounter, so how we test cannot be standardized. What we can standardize is the stuff that surrounds the testing. |
|
 |
Rethinking Your Measurement and Metrics for Agile and DevOps In their transition to agile and DevOps, many teams forget they also need to update their measurement and metrics plan. Some measurements and metrics from the traditional waterfall software development lifecycle may remain useful, but many may not provide value—and some may even adversely impact progress toward goals. |
|
 |
Security Tips for App Development When companies develop applications they consider competitors and the market, but the most important aspect is cybersecurity. Developers need to release apps that don’t put consumers or their data in danger. Here are five tips that app developers should keep in mind to create and maintain the most secure apps possible. |
|
 |
Making DevOps Evolution Happen It takes effort to evolve an organization’s culture, processes, and technology to optimize performance for a DevOps environment, and it all comes down to the people. Large-scale mobilization requires a focus on people at all levels, empowering them to discover and make the changes that will help them most. Here's how. |
|
 |
Smart Testers Adopt Smart Automation As technology continues to evolve, questions around the role of quality also continue. Is manual testing still required? What should the role of automation be? Where are we heading with quality? Smart testers hoping to develop their careers will have to brush up on their exposure and expertise and embrace automation. |
|
 |
5 Steps to Stable Continuous Testing in DevOps Continuous testing minimizes risk and ensures DevOps has the tools to deliver quality, modern code that is ready for the future. To fulfill this, you have to first understand the three types of personas in testing. Then, you'll know how to work with them to progress along the path toward achieving continuous testing. |
|
 |
7 Essential Quality Attributes for Your Test Automation Framework A common problem in software is that developers and designers tend to concentrate on pure functionality and neglect quality attributes. These are the famous “-abilities”: usability, reliability, portability, etc. If your testing framework is suffering, you might want to check if it has these seven quality attributes. |
