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Software analytics is a data-driven approach to decision making, which allowssoftware practitioners to leverage valuable insights from data about softwareto achieve higher development process productivity and improve differentaspects of software quality. In previous work, a set of patterns for adopting alean software analytics process was identified through a literature review.This paper presents two patterns to add to the original set, forming a patternlanguage for adopting software analytics practices that aims to informdecision-making activities of software practitioners. The writing of these twopatterns was informed by the solutions employed in the context of two casestudies on software analytics practices, and the patterns were furthervalidated by searching for their occurrence in the literature. The patternBroad-Spectrum Diagnostic proposes to conduct more broad analysis based oncommon metrics when the team does not have the expertise to understand the kindof problems that software analytics can help to solve; and the pattern EmbeddedImprovements suggests adding improvement tasks as part of other routineactivities.

More Software Analytics Patterns: Broad-Spectrum Diagnostic and Embedded Improvements