Why Software Quality Is Worse Than a Decade Ago: Causes and Reflections
The article argues that despite advances in tools and practices, modern software quality has declined over the past ten years due to factors such as increasing complexity, lack of focus, superficial engineering culture, and inadequate attention to reliability, usability, and security.
Since the birth of the Internet, software has become essential to virtually every aspect of modern life, from satellite launches to everyday activities like driving, flying, and making payments.
As software solutions proliferate, the number of incidents caused by bugs also rises, leading many developers and users to experience performance and availability problems.
The author defines software quality in terms of functionality, reliability, usability, and security, illustrating each with examples such as Facebook’s fragmented features, frequent game patches, cloud data loss incidents, and problematic banking apps.
1. What I Mean by Software Quality?
Functionality: Does the software provide all features needed to achieve user goals without unnecessary dependencies?
Reliability: The software should have minimal downtime or errors, recover gracefully, and maintain data integrity, yet many cloud services still suffer data loss.
Usability: Software must be easy to use and performant; the author cites frustrating experiences with mobile banking platforms.
Security: Managing dependencies is hard; outdated libraries can be exploited, leading to massive data breaches.
2. Where Did It Go Wrong?
The author attributes the decline to a “focus crisis” where distractions and short attention spans, especially among younger developers, lead to more mistakes and lower quality.
He critiques the blind adoption of trendy practices and leaders like Martin Fowler, arguing that many teams adopt micro‑services and other patterns without real need, inflating complexity.
Widespread use of high‑level languages and frameworks raises abstraction levels, reducing engineers’ deep understanding of underlying systems, which hampers debugging and optimization.
Overall, the article concludes that lack of focus, superficial engineering culture, and insufficient grasp of fundamentals are driving the software quality crisis, and speculates that AI may exacerbate the problem in the future.
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