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Many practitioners and academics believe in a delayed issue effect (DIE);i.e. the longer an issue lingers in the system, the more effort it requires toresolve. This belief is often used to justify major investments in newdevelopment processes that promise to retire more issues sooner.  This paper tests for the delayed issue effect in 171 software projectsconducted around the world in the period from 2006--2014. To the best of ourknowledge, this is the largest study yet published on this effect. We found noevidence for the delayed issue effect; i.e. the effort to resolve issues in alater phase was not consistently or substantially greater than when issues wereresolved soon after their introduction.  This paper documents the above study and explores reasons for this mismatchbetween this common rule of thumb and empirical data. In summary, DIE is notsome constant across all projects. Rather, DIE might be an historical relicthat occurs intermittently only in certain kinds of projects. This is asignificant result since it predicts that new development processes thatpromise to faster retire more issues will not have a guaranteed return oninvestment (depending on the context where applied), and that a long-held truthin software engineering should not be considered a global truism.

Are Delayed Issues Harder to Resolve? Revisiting Cost-to-Fix of Defects throughout the Lifecycle