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Software Failures Cost the Enterprise Software Market $61 Billion Annually

While the adoption of continuous integration (CI) is on the rise, software engineering teams are unable to take a zero-tolerance approach to software failures, costing enterprise organizations billions annually, according to a quantitative study conducted by Undo and a Cambridge Judge Business School MBA project.

"Every company is a software company. The ability for engineering teams to deliver high quality software at velocity is the difference between companies that gain a competitive edge versus those that fall behind," said Undo CEO Barry Morris. "The next phase of CI will be about making defect resolution bounded, efficient and less skills-dependent. Organizations that evolve with CI will be able to resolve bugs faster, accelerate software delivery and reduce engineering costs."

The research concluded three key findings:

1. Adoption of CI best practices is on the rise

88% of enterprise software companies say they have adopted CI practices, compared to 70% in 2015.

More than 50% of businesses surveyed report deploying new code changes & updates at least daily, with 35% reporting hourly deployments

2. Reproducing software failures is impeding delivery speed

41% of respondents say getting the bug to reproduce is the biggest barrier to finding and fixing bugs faster; and 56% say they could release software 1-2 days faster if reproducing failures wasn’t an issue.

Software engineers spend an average of 13 hours to fix a single software failure in their backlog.

3. Failing tests cost the enterprise software market $61 billion annually

This equals 620 million developer hours a year wasted on debugging software failures.

Although CI adoption is becoming ubiquitous, test suites are still plagued by a growing backlog of failing tests. Failures in integration and automated tests cause bottlenecks in the development pipeline, and substantially increase engineering costs.

The study further suggests that reproducibility of failures is also a major blocker, finding that not being able to reproduce issues slows engineering teams down and prevents them from releasing software changes at pace.

To fully realize the benefits of CI, software failure replay offers a way out by enabling engineering teams to reproduce and fix software bugs faster. By eliminating the guesswork in defect diagnosis, development teams are able to accelerate Mean-Time-to-Resolution (MTTR) — resulting in considerable cost savings.

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Software Failures Cost the Enterprise Software Market $61 Billion Annually

While the adoption of continuous integration (CI) is on the rise, software engineering teams are unable to take a zero-tolerance approach to software failures, costing enterprise organizations billions annually, according to a quantitative study conducted by Undo and a Cambridge Judge Business School MBA project.

"Every company is a software company. The ability for engineering teams to deliver high quality software at velocity is the difference between companies that gain a competitive edge versus those that fall behind," said Undo CEO Barry Morris. "The next phase of CI will be about making defect resolution bounded, efficient and less skills-dependent. Organizations that evolve with CI will be able to resolve bugs faster, accelerate software delivery and reduce engineering costs."

The research concluded three key findings:

1. Adoption of CI best practices is on the rise

88% of enterprise software companies say they have adopted CI practices, compared to 70% in 2015.

More than 50% of businesses surveyed report deploying new code changes & updates at least daily, with 35% reporting hourly deployments

2. Reproducing software failures is impeding delivery speed

41% of respondents say getting the bug to reproduce is the biggest barrier to finding and fixing bugs faster; and 56% say they could release software 1-2 days faster if reproducing failures wasn’t an issue.

Software engineers spend an average of 13 hours to fix a single software failure in their backlog.

3. Failing tests cost the enterprise software market $61 billion annually

This equals 620 million developer hours a year wasted on debugging software failures.

Although CI adoption is becoming ubiquitous, test suites are still plagued by a growing backlog of failing tests. Failures in integration and automated tests cause bottlenecks in the development pipeline, and substantially increase engineering costs.

The study further suggests that reproducibility of failures is also a major blocker, finding that not being able to reproduce issues slows engineering teams down and prevents them from releasing software changes at pace.

To fully realize the benefits of CI, software failure replay offers a way out by enabling engineering teams to reproduce and fix software bugs faster. By eliminating the guesswork in defect diagnosis, development teams are able to accelerate Mean-Time-to-Resolution (MTTR) — resulting in considerable cost savings.

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E-commerce is set to skyrocket with a 9% rise over the next few years ... To thrive in this competitive environment, retailers must identify digital resilience as their top priority. In a world where savvy shoppers expect 24/7 access to online deals and experiences, any unexpected downtime to digital services can lead to significant financial losses, damage to brand reputation, abandoned carts with designer shoes, and additional issues ...

Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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The 2025 Catchpoint SRE Report dives into the forces transforming the SRE landscape, exploring both the challenges and opportunities ahead. Let's break down the key findings and what they mean for SRE professionals and the businesses relying on them ...

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The pressure on IT teams has never been greater. As data environments grow increasingly complex, resource shortages are emerging as a major obstacle for IT leaders striving to meet the demands of modern infrastructure management ... According to DataStrike's newly released 2025 Data Infrastructure Survey Report, more than half (54%) of IT leaders cite resource limitations as a top challenge, highlighting a growing trend toward outsourcing as a solution ...

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Gartner revealed its top strategic predictions for 2025 and beyond. Gartner's top predictions explore how generative AI (GenAI) is affecting areas where most would assume only humans can have lasting impact ...

The adoption of artificial intelligence (AI) is accelerating across the telecoms industry, with 88% of fixed broadband service providers now investigating or trialing AI automation to enhance their fixed broadband services, according to new research from Incognito Software Systems and Omdia ...

 

AWS is a cloud-based computing platform known for its reliability, scalability, and flexibility. However, as helpful as its comprehensive infrastructure is, disparate elements and numerous siloed components make it difficult for admins to visualize the cloud performance in detail. It requires meticulous monitoring techniques and deep visibility to understand cloud performance and analyze operational efficiency in detail to ensure seamless cloud operations ...

Imagine a future where software, once a complex obstacle, becomes a natural extension of daily workflow — an intuitive, seamless experience that maximizes productivity and efficiency. This future is no longer a distant vision but a reality being crafted by the transformative power of Artificial Intelligence ...

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