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HP Introduces Fundex Score and Other Software Innovations for Mobile App Economy

HP announced new software releases designed to help organizations deliver mobile applications that delight customers and score 5-star ratings.

The innovations harness HP’s unique assets in big data analytics, application lifecycle management, IT operations management and security to enable organizations to accelerate the delivery of every phase of the mobile app lifecycle, from creation and pre-production, to delivery and post-production management.

HP’s latest innovations combine its proven assets in application development testing, monitoring and systems management with HP Haven analytics, HP security software, and elegant SaaS-based interfaces. Together, these capabilities result in solutions that help make designing, delivering, and managing mobile applications an intuitive, collaborative and fun process. Businesses can use HP’s solutions to accelerate application delivery, test and monitor apps across multiple devices and operating systems, and provide mobile users with exceptional and secure experiences.

HP has released a unique new offering that leverages the HP Haven big data platform to allow businesses to gain visibility into the health of their mobile apps and measure overall user experience. HP App Pulse Mobile constantly monitors and analyzes performance, stability and resource usage on mobile apps. The tool provides a “FunDex” score that provides a top-level view of problems that negatively impact the user experience with recommendations to explore and fix the root cause of each issue.

HP has released a new version of its Agile project management software to assist mobile teams in adopting Agile practices and delivering high-quality mobile applications faster. A new version of HP Agile Manager supports real-time integration with HP’s Application Lifecycle Management software so that no matter how fast Agile teams deliver, they can have data-driven insights that facilitate quality assurance with each release

HP has also released an enhanced version of Application Lifecycle Management that greatly simplifies the task of defect and test management across fast-moving mobile dev and test teams and extends support across a wide array of browsers and platforms.

HP has delivered new updates to its mobile testing software designed to help customers automate realistic performance and functional testing and manage their mobile test lab to accommodate for network behavior, regardless of constraints:

- The new version of HP Mobile Center speeds and simplifies app testing on real devices supporting both native iOS, Android and hybrid applications including common JavaScript frameworks such as JQM, Angular and Sencha, and adds support for seven different languages (English, French German, Russian, Japanese, Korean and Chinese)

- A new version of HP Network Virtualization, with an enhanced user interface and updated performance optimization capabilities helps app development teams incorporate real mobile network conditions in development and testing, ultimately enabling the delivery of apps with an ideal user experience.

- A new version of HP Service Virtualization provides critical capabilities for driving mobile development without delays, by extending support for popular protocols such as Websphere MQ, SAP RFC/IDOC.

HP has unveiled new performance engineering solutions designed to help teams continuously scale mobile apps in the face of peak user loads and maintain availability and responsiveness:

- Supporting mobile performance testing, new releases of widely adopted HP LoadRunner and HP Performance Center are now integrated with HP Mobile Center, giving mobile QA and development teams’ continual access to real devices in their performance test scenarios.

- New updates to HP’s cloud-based load testing service: HP StormRunner Load improves performance analytics, extends international geographic coverage to create local load, and supports additional native languages (adding both Chinese and Japanese). HP StormRunner Load’s intuitive user interface makes it easy to scale both web and mobile load tests to over one million virtual users.

To help deliver secure mobile applications, HP provides application development and testing that infuses security into coding and testing processes. The new releases of HP Application Lifecycle Management solutions are fully integrated with the HP Fortify application security suite, which is designed to assess and test security at every step of the application development lifecycle, and is continually updated with state of the art algorithms and programming practices.

“As businesses get serious about their mobile application strategy, they realize that point solutions fall short in helping them to quickly create and deliver amazing mobile experiences that are secure, high-performing, and beautiful,” said Robert Youngjohns, EVP and GM, HP Software. “HP is uniquely positioned to lead in the mobile market by bringing together our proven assets in application development, operations management, security, and big data to help businesses deliver winning mobile apps that delight customers and positively impact their brand, revenue, and market share.”

This portfolio of HP application lifecycle management, quality and test management and business service management solutions are available immediately worldwide.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

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In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

HP Introduces Fundex Score and Other Software Innovations for Mobile App Economy

HP announced new software releases designed to help organizations deliver mobile applications that delight customers and score 5-star ratings.

The innovations harness HP’s unique assets in big data analytics, application lifecycle management, IT operations management and security to enable organizations to accelerate the delivery of every phase of the mobile app lifecycle, from creation and pre-production, to delivery and post-production management.

HP’s latest innovations combine its proven assets in application development testing, monitoring and systems management with HP Haven analytics, HP security software, and elegant SaaS-based interfaces. Together, these capabilities result in solutions that help make designing, delivering, and managing mobile applications an intuitive, collaborative and fun process. Businesses can use HP’s solutions to accelerate application delivery, test and monitor apps across multiple devices and operating systems, and provide mobile users with exceptional and secure experiences.

HP has released a unique new offering that leverages the HP Haven big data platform to allow businesses to gain visibility into the health of their mobile apps and measure overall user experience. HP App Pulse Mobile constantly monitors and analyzes performance, stability and resource usage on mobile apps. The tool provides a “FunDex” score that provides a top-level view of problems that negatively impact the user experience with recommendations to explore and fix the root cause of each issue.

HP has released a new version of its Agile project management software to assist mobile teams in adopting Agile practices and delivering high-quality mobile applications faster. A new version of HP Agile Manager supports real-time integration with HP’s Application Lifecycle Management software so that no matter how fast Agile teams deliver, they can have data-driven insights that facilitate quality assurance with each release

HP has also released an enhanced version of Application Lifecycle Management that greatly simplifies the task of defect and test management across fast-moving mobile dev and test teams and extends support across a wide array of browsers and platforms.

HP has delivered new updates to its mobile testing software designed to help customers automate realistic performance and functional testing and manage their mobile test lab to accommodate for network behavior, regardless of constraints:

- The new version of HP Mobile Center speeds and simplifies app testing on real devices supporting both native iOS, Android and hybrid applications including common JavaScript frameworks such as JQM, Angular and Sencha, and adds support for seven different languages (English, French German, Russian, Japanese, Korean and Chinese)

- A new version of HP Network Virtualization, with an enhanced user interface and updated performance optimization capabilities helps app development teams incorporate real mobile network conditions in development and testing, ultimately enabling the delivery of apps with an ideal user experience.

- A new version of HP Service Virtualization provides critical capabilities for driving mobile development without delays, by extending support for popular protocols such as Websphere MQ, SAP RFC/IDOC.

HP has unveiled new performance engineering solutions designed to help teams continuously scale mobile apps in the face of peak user loads and maintain availability and responsiveness:

- Supporting mobile performance testing, new releases of widely adopted HP LoadRunner and HP Performance Center are now integrated with HP Mobile Center, giving mobile QA and development teams’ continual access to real devices in their performance test scenarios.

- New updates to HP’s cloud-based load testing service: HP StormRunner Load improves performance analytics, extends international geographic coverage to create local load, and supports additional native languages (adding both Chinese and Japanese). HP StormRunner Load’s intuitive user interface makes it easy to scale both web and mobile load tests to over one million virtual users.

To help deliver secure mobile applications, HP provides application development and testing that infuses security into coding and testing processes. The new releases of HP Application Lifecycle Management solutions are fully integrated with the HP Fortify application security suite, which is designed to assess and test security at every step of the application development lifecycle, and is continually updated with state of the art algorithms and programming practices.

“As businesses get serious about their mobile application strategy, they realize that point solutions fall short in helping them to quickly create and deliver amazing mobile experiences that are secure, high-performing, and beautiful,” said Robert Youngjohns, EVP and GM, HP Software. “HP is uniquely positioned to lead in the mobile market by bringing together our proven assets in application development, operations management, security, and big data to help businesses deliver winning mobile apps that delight customers and positively impact their brand, revenue, and market share.”

This portfolio of HP application lifecycle management, quality and test management and business service management solutions are available immediately worldwide.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.