ebaprobleemsed

ebaprobleemsed (sometimes abbreviated as eBPS) is a framework developed for the systematic identification and categorization of software defects in applications that process large volumes of structured data. The term combines the initials of the original project, “E” for enterprise, “B” for business, “A” for application, with the Dutch word “probleem” (problem) and the Unix stream editor “sed”, reflecting the framework’s focus on text‑based error streams.

The concept was first formalized in 2020 by a consortium of open‑source contributors in the field of data engineering. It builds on established defect taxonomy models such as the ISO/IEC 9126 quality model, adding a four‑tier classification that distinguishes between syntactic, semantic, performance, and security defects. Each tier is supported by a dedicated workflow that automatically extracts relevant log entries, applies regular‑expression filters (using sed syntax), and generates a concise report.

Key features of eBPS include automated log parsing, a rules engine that maps symptoms to potential root causes, and integration hooks for continuous‑integration pipelines. Many organizations in the banking, healthcare, and e‑commerce sectors have adopted the framework to reduce mean time to repair for critical data pipelines. The framework is released under the MIT license and maintained on a public code repository, with documentation hosted on the project website.

Although still evolving, eBPS has gained recognition in two industry white papers that assessed defect detection techniques across seven large‑scale data‑processing systems. Future developments aim to incorporate machine‑learning classifiers that predict defect severity based on historical incident data.