QASource Blog

Uncertainty was certainly the theme of 2020. As quickly as the world changed around us, so too were industry demands in upgrading product quality, even when expectations were constantly in flux. With QA projects not slowing down this year, information was key in reaching deadlines, launching to market and driving results.

A lack of efficient SaaS testing can result in an unreliable platform that fails to achieve the convenient, quality experience, and agility that users expect. This infographic will help you develop and implement strong SaaS testing strategies.

Think of QA onboarding like adding a new employee to your team. The sooner they can learn about your company - from your product and work culture to existing processes and project requirements - the sooner they can provide the deliverables you need. Fortunately, many QA vendors have been in the industry for decades and can get up to speed quickly. That being said, there are specific onboarding procedures expected from you so that your offshore QA testing team can start testing sooner and produce expected testing results faster.

Salesforce is a leader in the CRM space because of its customizable implementation options and integration capabilities with other applications. However, Salesforce testing that incorporates the cloud, security standards, Apex programming, web services, etc. calls for a comprehensive QA strategy.

Organizations generate volumes of data in the form of documents, chatbots, product reviews, etc. Most of this data is unstructured text, and manually extracting information from this raw text data can be difficult and expensive.

A Lightning Web Component or LWC is a lightweight framework by Salesforce. Being a member of the World Wide Web Consortium (W3C), Salesforce encourages the development of web standards on the Lightning platform. Below is a quick guide, put together by our engineers to help you test Lightning Web Components.

Smartphones, smart speakers, smart cars, smart coffee makers - everything around us is coming to life and becoming intelligent. Advanced technology like artificial intelligence (AI) and machine learning (ML) fuels the most exciting innovations of today, from self-driving cars and virtual / augmented reality to automated investing and improved medical imaging.

SaaS platforms have been on the rise for some time now. From professional endeavors to leisure activities, more of our experiences are shifting towards a virtual delivery. And because immediate access from any location makes the shortlist for any software system, consumers often choose SaaS applications over on premise software systems.

An exponential growth in testing has led to new technologies to build better coordination between Dev and QA. Similarly, Service Virtualization has been continuously acquiring its space in the software development life cycle.