WaveMaker has updated its platform in response to customer demand for more sophisticated API and code management tools.
Start with Eran Kinsbruner's blog: Are Your Mobile Apps Ready for the Real World?
An integrated and iterative mobile application testing cycle should include the following key components:
1. Test Automation
For flow control and repetitive testing, automation allows developers to test a function many times without having to manually test a program. This automatic function can give full reports of each execution with helpful statistics and insights, as well as save time and money on problem reproduction.
In a highly fragmented mobile market, the use of device-agnostic scripting lets you build test cases that can be easily maintained, reused and ported to multiple mobile platforms.
2. Performance Testing
Performance testing in real-world conditions is a prerequisite for ensuring the best possible user experience. Simulating mobile load against specific network conditions, and during specific times of day, is very helpful in predicting performance bottlenecks. Application developers/testers must take into account the fact that the number of users for specific applications at peak hour and seasons can be significantly greater than average use.
Testing for performance against pre-OS versions of Android, iOS, etc. enables the detection of OS-specific network issues on specific devices. In this context, it is important to download available beta releases of iOS and Android and test your app against these versions on leading devices (smartphones and tablets) under different network conditions. This lets you identify and fix potential issues before the general OS version release. A good example of this was the avoidable iOS 6.1 network bug, which resulted in 3G network performance issues on 3G networks for iPhone 4S users.
3. Production Monitoring
To enable achievement of your business goals, the mobile quality lifecycle must also include performance monitoring of applications in production. Enterprises cannot afford to launch an app and wait for a problem to occur. By monitoring the application 24/7 on real devices, your operations team can obtain metrics and detailed reports on application behavior and understand exactly what end users are experiencing. Real-time mobile monitoring allows you to isolate, analyze, classify and reproduce issues for fast resolution.
In a dynamic and unpredictable mobile market, a continuous and iterative testing cycle, comprising automated functional testing, performance testing and production monitoring are crucial for meeting users' expectations and maintaining brand loyalty. Mobile APM solutions that address these needs allow enterprises to benchmark success over time and constantly improve the quality of their applications – to the delight of their end users.
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Industry News
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Progress announced a strategic partnership with Veeam® Software, the #1 leader by market share in Data Protection and Ransomware Recovery, to provide customers with an enterprise-ready cyber defense solution that strengthens the security of their business-critical data.
GitGuardian released its Software Composition Analysis (SCA) module.
DataStax announced a milestone in its journey to simplify enterprise retrieval-augmented generation (RAG) for developers by integrating with Microsoft Semantic Kernel.
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Sentry announced the release of Autofix, an AI-powered feature to debug and fix code in minutes, saving important time and resources.
Apiiro announced a product integration and partnership with Secure Code Warrior, the agile developer security training platform, to extend its ASPM technology and processes to the people layer.
Progress announced that Progress® Semaphore™, its metadata management and semantic AI platform, was named a Champion in SoftwareReviews’ 2024 Metadata Management Emotional Footprint Awards.
The Cloud Native Computing Foundation® (CNCF®) has partnered with Udemy, an online skills marketplace and learning platform.
GitLab has acquired Oxeye, the provider of a cloud-native application security and risk management solution.
GitHub announced that code scanning autofix, powered by GitHub Copilot and CodeQL, is available in public beta for all GitHub Advanced Security (GHAS) customers.
NetApp is collaborating with NVIDIA to advance retrieval-augmented generation (RAG) for generative AI applications.
CalypsoAI launched the CalypsoAI Platform, an advanced SaaS-based security and enablement solution for generative AI applications within the enterprise.