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The vast majority of the long tail of scientific software, the myriads oftools that implement the many analysis and visualization methods for differentscientific fields, is highly specialized, purpose-built for a research project,and has to rely on community uptake and reuse for its continued development andmaintenance. Although uptake cannot be controlled over even guaranteed, some ofthe key factors that influence whether new users or developers decide to adoptan existing tool or start a new one are about how easy or difficult it is touse or enhance a tool for a purpose for which it was not originally designed.The science of software engineering has produced techniques and practices thatwould reduce or remove a variety of barriers to community uptake of software,but for a variety of reasons employing trained software engineers as part ofthe development of long tail scientific software has proven to be challenging.As a consequence, community uptake of long tail tools is often far moredifficult than it would need to be, even though opportunities for reuse abound.We discuss likely reasons why employing software engineering in the long tailis challenging, and propose that many of those obstacles could be addressed inthe form of a cross-cutting non-profit center of excellence that makes softwareengineering broadly accessible as a shared service, conceptually and in itseffect similar to shared instrumentation.

Software Engineering as Instrumentation for the Long Tail of Scientific Software