As user expectations escalate and development and testing costs continue to increase, organizations are seeking additional mechanisms for gaining more insight, earlier, to improve product quality. One contributor to this effort is data analytics and visualization.
Thanks to the handful of organizations that are producing amazing apps, users expect more. Systems and transaction chains are more complex, the number of devices continues to grow, and users want to do more, but with fewer actions and less decision making. What are software teams to do? How do you answer the challenge?
It does little good for a developer to expend thousands of hours and enormous sums of money developing and testing a gorgeous, brilliantly functional app if security ends up being an issue. This article explores the current landscape and offers some best practices that developers—both third-party developers and corporate teams—can adopt to foster security and confidence in their mobile apps.
Switching from a legacy system to a composite application? It can be tricky, because the transition requires a lot of restructuring. To be sure you’re conducting the most streamlined, complete transfer possible, you need to focus on key performance indicators.
In software engineering, if metrics and KPIs are being confused or used interchangeably, it generally means that stakeholders are not defining and building out KPIs, and software teams are not using them effectively. At the end of the day, these incorrect assumptions diminish the quality and amount of actionable information that can help reduce defects and promote a better outcome.
Obtaining the right data for test cases, at the right time, without straining testing teams, isn’t a difficult process, but it requires a logical, properly structured methodology.