spk-logo-white-text-short2
0%
1-888-310-4540 (main) / 1-888-707-6150 (support) info@spkaa.com
Select Page

Why Software Builds Fail and Areas for Improvement

Written by SPK Blog Post
Published on June 29, 2015

In a recently published paper, researchers at Google examined the issue of failed software builds within their organization. Specifically, they wanted to address the separate questions of “How often do builds fail?”, “Why do builds fail”, and “How long does it take to fix broken builds?” To answer these questions, the researchers looked at 26.6 million Java and C++ builds due to the overwhelming usage of these two languages within Google. For the purposes of this article, we will review the results of the question “why do builds fail?”

To determine why builds were failing, the researchers examined the build logs and categorized compiler error messages into different groups. Of the categories defined, the researchers looked at the top 25 most frequent error messages to identify the most common cause of build failure. The results indicated that only 10 percent of the error categories accounted for 90 percent of the broken builds, regardless of the language. Additionally, those errors where most commonly dependency related.

Insofar as these findings are generalizable to organizations outside of Google, the implications of this research suggest that dependency management is one of the most critical areas of concern for decreasing the amount of broken software builds. Potential actions could include reducing the dependencies for a given project, or developing assistive tools to help developers resolve dependency errors. Ideally, the goal should be to help prevent developers from submitting changes that contain dependency errors. In this study, the average resolution time was one to two additional builds. In this scenario, if we assume introducing a dependency-related bug requires two additional builds, the cost of such a bug is 3 times the elapsed build time in addition to the developer’s time required to resolve it.

Next Steps:

David Hubbell
Software Engineer
SPK and Associates

Latest White Papers

The AI Maturity Playbook for Product and Engineering Teams

The AI Maturity Playbook for Product and Engineering Teams

Knowing how to integrate AI into your workflows can be the difference between risky, inefficient implementation and successful performance that brings lower costs and a faster time-to-market. This eBook explores how your teams can effectively utilize AI.What You Will...

Related Resources

The Hidden Cost of Disconnecting Requirements from Development

The Hidden Cost of Disconnecting Requirements from Development

Complex product development is reliant on multiple teams. While a small mistake from one team is not encouraged, more often than not, problems appear when important information across teams drifts apart. For example, a requirement changes, but the development team...

Meet the Experts: Ginna Kang

Meet the Experts: Ginna Kang

Ginna Khang is an Applications Engineer focused on research and development (R&D).  She started at SPK and Associates in 2022 as an intern while she attended UC Santa Cruz.  After graduating in 2024, she was brought on full-time.  Here is more about Ginna in her...